Collaborative Filtering Deep Learning Jobs in Usa

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.
Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.

2. We strive for excellence.

3. We thrive on diversity.

4. We celebrate collaboration.

5. We champion innovation.

6. We safeguard freedom of inquiry and expression.

7. We nurture the wellbeing of our community.

8. We act ethically.

9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Computer Science at the Georgia Institute of Technology

The School of Computer Science, one of five schools in the top ten ranked College of Computing, focuses on research that makes computing and communication smart, fast, reliable, and secure, with research groups in computer architecture, databases, machine learning, networking, programming languages & compilers, software engineering, systems, and theory. Faculty from our school are leaders in a variety of Georgia Tech initiatives, including the Algorithms and Randomness Center (ARC), the Center for Machine Learning ( ), the Center for Research into Novel Computing Hierarchies (CRNCH), and the Institute for Data Engineering and Science (IDEaS).

Atlanta, GA

The School of Computer Science at the Georgia Institute of Technology (Georgia Tech) in Atlanta, Georgia, USA, invites applications for several tenure-track faculty positions at all ranks: Assistant Professor, Associate Professor, and Professor. We seek candidates in all areas of computer science that complement and enhance our current research strengths and are especially interested this year in candidates whose research focus is in the broad areas of software engineering, data systems (database), theoretical computer science, and quantum systems.

As a tenure-track faculty member, a successful candidate will engage in substantive research individually and/or with collaborators in the same or other disciplines. In addition, a successful candidate will be expected to teach one graduate or undergraduate course per semester, in Georgia Tech's Atlanta campus, as well as contribute service to the School and Institute.

Applicants must have a Ph.D. in Computer Science, or a related field (including Computer Engineering, Electrical Engineering, Information Science, or Computing) by the start of the appointment.

Applicants must show evidence of outstanding academic research credentials and stellar potential in their field of study, a sincere commitment to teaching, and an interest and ability to promote a welcoming educational/work environment. We seek faculty candidates committed to student success including but not limited to:

• The ability to mentor and assist students interested in pursuing graduate education.
• The ability to engage in high-impact practices that support deep learning for student success.

A full application should include a cover letter, curriculum vitae, a statement of research interests, a teaching statement that includes a description of teaching interests as well as an advising/mentoring philosophy, and the contact information of at least three references. We ask that applicants clearly indicate their research area(s) and focus on their cover letters. Applications should be submitted via the Georgia Tech Careers website, and reference letter information should be submitted at Academic Jobs Online, located ajo/jobs/30992

Applicants are encouraged to submit their applications as soon as possible. For full consideration, applications should be received by December 31, 2025, but will be considered until all open positions are filled.

Request for information may be directed to Kelly Rockwell -

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (USG) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individuals race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

The candidate of choice will be required to pass a preemployment background screening. /employment/pre-employment-screening.

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Computer Science at the Georgia Institute of Technology

The School of Computer Science, one of five schools in the top-ten ranked College of Computing, focuses on research that makes computing and communication smart, fast, reliable, and secure, with research groups in computer architecture, databases, machine learning, networking, programming languages & compilers, software engineering, systems, and theory. Faculty from our school are leaders in a variety of Georgia Tech initiatives, including the Algorithms and Randomness Center (ARC), the Center for Machine Learning ( ), the Center for Research into Novel Computing Hierarchies (CRNCH), and the Institute for Data Engineering and Science (IDEaS).

Atlanta, GA

The School of Computer Science at the Georgia Institute of Technology (Georgia Tech) in Atlanta, Georgia, USA, invites applications for several tenure track faculty positions at all ranks Assistant Professor, Associate Professor, and Professor. We seek candidates in all areas of computer science that complement and enhance our current research strengths and are especially interested this year in candidates whose research focus is in the broad areas of software engineering, data systems (database) and analytics, and theoretical computer science.

As a tenure-track faculty member, a successful candidate will engage in substantive research individually and/or with collaborators in the same or other disciplines. In addition, a successful candidate will be expected to teach one graduate or undergraduate course per semester, in Georgia Tech's Atlanta campus, as well as contribute service to the School and Institute.

Applicants must have a Ph.D. in Computer Science, or a related field (including Computer Engineering, Electrical Engineering, Information Science, or Computing) by the start of the appointment.

Applicants must show evidence of outstanding academic research credentials and stellar potential in their field of study, a sincere commitment to teaching, and an interest and ability to promote a welcoming educational/work environment. We seek faculty candidates committed to student success including but not limited to:

• The ability to mentor and assist students interested in pursuing graduate education.
• The ability to engage in high-impact practices that support deep learning for student success.

A full application should include a cover letter, curriculum vitae, a statement of research interests, a teaching statement that includes a description of teaching interests as well as an advising/mentoring philosophy, and the contact information of at least three references. We ask that applicants clearly indicate their research area(s) and focus on their cover letters. Applications should be submitted via the Georgia Tech Careers website, and reference letter information should be submitted at Academic Jobs Online, located ajo/jobs/28540

Applicants are encouraged to submit their applications as soon as possible. For full consideration, applications should be received by December 1, 2024. but will be considered until all open positions are filled.

Requests for information may be directed to Kelly Rockwell -

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

More information on these policies can be found here: policymanual/section6/c2714 Board of Regents Policy Manual | University System of Georgia ( ).

The candidate of choice will be required to pass a pre-employment background screening. employment/pre-employment-screening.

Enterprise Account Executive - Farmington, UT (Open to remote)

Why LoanPro:

“We want to change how the future of finance works. We’re working to change finance to be highly personalized. It changes who has access to capital. It changes personal finances. It can have a ripple effect on everything you do. LoanPro unlocks finance.” -Rhett Roberts, CEO

At LoanPro, we're more than just a fintech company—we’re transforming the lending landscape. With over $18 billion in loans managed across North America, LoanPro isn't just growing—it's leading the industry transformation.

How we do what we do:

“Steve Jobs was once asked what he was most proud of at Apple. Was it the iPhone? Was it the iPad? Steve Jobs replied it was the team that built Apple. That’s what I’m most proud of here at LoanPro- the team that builds LoanPro. We do what we do because of our people.” -Rhett Roberts, CEO

At the heart of our success are our exceptional employees, whose talent, passion, and dedication fuel the growth and profitability of our company. As a next-generation SaaS platform, we deliver core lending infrastructure that empowers mid-market and large lenders to operate more efficiently, quickly, and effectively. Our cloud-native solution helps clients streamline operations, enhance organization, and drive unparalleled performance in their lending processes.

What you’ll own:

LoanPro’s Enterprise Account Executive (EAE) is responsible for selling our cutting-edge loan management software to enterprise-level clients. The EAE will primarily focus on driving revenue growth by identifying and closing new business opportunities. The EAE will be responsible for the continuation of revenue growth for LoanPro. EAEs should be a specialist in LoanPro products and services in order to clearly communicate product value to customers and prospects. They work to understand the needs of prospects and determine whether our solutions can meet those needs. The EAE works with multiple internal teams to ensure the highest level of service is delivered to the current and future clients. They are a trusted resource for both internal and external clients. They develop relationships with prospects, acting as their main point of contact within LoanPro from initial outreach or AE handoff, through the sales process, to introducing them to Customer Success. They are also responsible for exemplifying excellent customer service and the Company core values, culture, policy and procedures at all times.

Essential Job Functions:

• Take ownership of deep learning about our software, its functions, and how it fulfills our customers' needs and how they use the product
• Identify and target potential enterprise-level clients in the financial services industry, fintech companies, and lending institutions.
• Develop and execute a strategic sales plan to meet and exceed revenue targets.
• Build and maintain strong relationships with key decision makers and stakeholders within target accounts.
• Understand the complex software as a service (SaaS) solutions and effectively communicate the value proposition to clients.
• Conduct in-depth product demonstrations and presentations to showcase the features and benefits of our loan management software.
• Collaborate with internal teams, including sales engineers and customer success managers, to ensure successful implementation and customer satisfaction.
• Stay up-to-date with industry trends, competition, and market developments.
• Attend trade shows, client visits, and industry events to network and generate new leads.
• An essential function of this role requires onsite work to collaborate with other team members. Remote work can be conducted at managers discretion and in accordance with company hybrid policy.

Responsibilities / Duties / Tasks:

• Communicate with potential and current clients at to understand customer goals, challenges, project requirements, timeline, budget, and authority
• Create detailed business plans to reach predetermined goals and quotas
• Own, manage and support prospects through the full sales process from qualification to close
• Maintain and organize customer and account information
• Have strong technical, business and financial terms acumen and understanding to better serve the client
• Research and develop existing accounts to increase customer efficiencies
• Develop an in-depth understanding of LoanPro, industry trends, and competition
• Work effectively with internal departments to deliver the best solution for the client and ensure an excellent experience
• Consistently achieve and exceed quarterly metrics (appointments set, opportunities created, qualified leads, new contacts, calls per day, KPI, etc.)
• Answer questions about LoanPro processes and solutions with confidence and expertise
• Manage prospecting status, data integrity, and forecasting in Salesforce
• Drive pipeline growth through development of outbound leads
• Deliver quality and tailored demonstrations to mid-market and enterprise prospects based on their needs and priorities
• Remain in regular contact with your clients to understand and meet their needs
• Strong communication and positive team player approach
• Provide ideas/insights to management and sales to help facilitate growth of organization
• Stay on top of industry trends and develop a complete understanding of our current and potential Strategic Partners’ and our customers’ businesses
• Research target accounts, identify key players, generate interest, and develop new relationships
• Clearly articulate value, be persuasive and present to decision-makers, key stakeholders, and executives
• Support LoanPro at trade shows and conventions as needed
• Ability to give, receive, and implement feedback and constructive criticism
• Have a positive and energetic attitude and make efforts to maintain/improve morale
• Build collaborative, trustworthy relationships across a range of styles, functions, geographies, and cultures to form networks within and outside the company
• Develop and maintain strong organizational astuteness and agility
• Self-directed, including: manages time, proactively seeks work opportunity, supports the department and software needs, proactively seeks and pulls work, delivers on daily projects tasks, communicates with team - has a strong sense of urgency and engagement of projects and timely delivery
• Focuses on work while at work, stays engaged, attentive and proactive and eliminates distractions (cell phone, internet, long breaks, distractions, etc)
• Puts sufficient time, energy, and effort into the tasks necessary to complete the duties and responsibilities of the position. These include but are not limited to; coming to work on time, collaborating with team members of other departments and managers, discussing potential software issues and resolutions
• Exemplify and be hungry, humble, and smart in regard to work attitude and growth
• Other duties as prescribed - Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice

What you’ll need for success:

• Bachelor's degree in business or a similar field.
• Minimum of 5 years of experience in enterprise software sales, with a proven track record of meeting or exceeding sales targets.
• Demonstrated experience in selling complex SaaS solutions to multiple stakeholders and decision makers.
• Experience in the fintech, financial services industry, or lending is a plus.
• Strong negotiation and closing skills with the ability to navigate a complex sales cycle.
• Excellent communication and presentation skills, both verbal and written.
• Self-motivated, proactive, and able to work independently as well as in a team environment.
• Willingness to travel up to 10% of the time for client visits, trade shows, and industry events.

Benefits of the Role:

• 80% Medical/Dental
• PTO and Holiday Schedule
• HSA and 401K Match
• Wellness Rewards and EAP

At LoanPro, we have the ability to make a real difference. LoanPro offers a value-based, innovation-focused, learning culture and endless opportunities for growth. Come help us build LoanPro.

If you need an accommodation to apply for the position or during the interview process, please email

The Advanced Aortic Imaging for Clinical and Translational Research (AAI-CTR) lab at UW–Madison is hiring a Postdoctoral Research Associate to develop and validate next-generation imaging biomarkers for aortic disease. If you want your algorithms to change how patients are monitored and treated, not just generate papers (although there is plenty of that too), this is the role.

Why This Lab:

Our group has built several image analysis techniques that have completely changed how we view aortic disease. Specifically, vascular deformation mapping (VDM) is a technique that detects aortic deformation patterns invisible to conventional diameter measurement, and we are actively translating it from research tool to clinical product. Our work sits at the intersection of deep learning, image registration, and clinical decision-making, with active industry partnerships aimed at commercializing the methods we develop. Former trainees have moved into competitive industry positions, co-developed new IP, and gone on to train at other top-tier programs. This is a lab where technical innovation and clinical impact are not separate goals.

What You’ll Do:

Algorithm & Pipeline Development

• Design, train, and validate DL/ML models for aortic CT and MRI (segmentation, registration, shape/growth modeling, VDM pipelines).
• Build and optimize image-based pipelines for longitudinal aortic surveillance using large, multi-center datasets.
• Benchmark algorithms against clinical reference standards; lead external validation and reproducibility testing.

Clinical Translation

• Collaborate directly with cardiovascular surgeons, cardiologists, and radiologists to define clinically meaningful performance targets.
• Advance investigational tools toward real-world use: workflow integration, reliability testing, and documentation aligned with regulatory and commercial pathways.
• Apply novel analysis methods to large patient populations (UW and multi-center cohorts) to generate evidence that supports clinical adoption.

Data & Project Leadership

• Curate, organize, and manage large clinical imaging datasets and associated outcomes data.
• Mentor and collaborate with trainees across clinical, engineering, and physics backgrounds.
• Lead manuscript preparation, conference abstracts, and presentations; build your independent publication record.

Required Qualifications

• Ph.D. (or equivalent) in Biomedical Engineering, Electrical/Computer Engineering, Computer Science, Medical Physics, or a closely related quantitative field.
• Hands-on experience with medical image analysis on CT and/or MRI.
• Strong AI/DL skill set: proficiency in Python and common ML/DL frameworks (PyTorch, TensorFlow); experience training and evaluating models on large imaging datasets.
• Experience with core medical imaging tasks: segmentation, registration, or 3D model/shape analysis, transfer learning. Interest in deformation or longitudinal analysis is a plus.
• Track record of scientific productivity (peer-reviewed publications, conference papers) and strong written/oral communication.
• Genuine interest in clinical translation, meaning building tools clinicians will actually use, not just publishing methods papers.

Preferred

• Prior work with vascular or cardiovascular imaging (aorta, aneurysm/dissection, cardiac CT/MR).
• Experience with image registration or statistical shape/deformation modeling.
• Familiarity with database tools and good data engineering practices for imaging research.
• Comfort working in multi-disciplinary teams and collaborating closely with clinicians.
• Creative, independent problem-solving mindset: able to prototype, test, and iterate quickly.

Commitment & Environment

We are looking for someone who can commit to at least 18–24 months. Meaningful translational research takes time: developing a method, validating it rigorously, and publishing the results is not a short-term endeavor. In return, you will work in a highly collaborative environment spanning Radiology, Surgery, Cardiology, and Medical Physics at UW–Madison, with direct access to large clinical datasets and a PI who is invested in your long-term career trajectory.

Work Authorization

Candidates who already hold valid U.S. work authorization are preferred, including F-1 OPT and STEM OPT. We are open to sponsoring H-1B visas for exceptional candidates, though candidates who do not require immediate employer-sponsored work authorization will have an advantage given current processing timelines.

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.

Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact.

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.

The Director, USMA (United States Medical Affairs) Framework Architecture is responsible for establishing, maintaining and continuously improving the medical affairs framework within US Medical Affairs. This role ensures medical affairs operates ethically, transparently and in full compliance with internal policies, industry codes and regulatory requirements. This role oversees the design and implementation of robust medical mechanisms for medical content, scientific exchange, evidence generation and external engagement to uphold the highest ethical standards, patient-centricity, and scientific integrity.

Develop and execute training programs for Medical Affairs personnel on Medical Affairs framework and ethical standards. Track training completion and maintain audit readiness documentation. Ensure USMA employees operate in the appropriate framework for all US medical activities, including publications, post approval studies, research, advisory boards, scientific engagement and medical information and response documents. Partner with patient safety organization. Ensure Scientific integrity in US Affiliate communication.

Contribute to shaping medical affairs framework that compliantly enables the US Medical Affairs and US Affiliate organization.

Key Responsibilities:

• Identify and share opportunities to improve specific Medical Affairs framework, policies and input into relevant global and local policies.
• Develop, lead, and continuously improve the U.S. Medical framework to support compliant medical operations and decision-making.
• Drive medical affairs framework and ethical training programs and ensure ongoing training within USMA and US Affiliate as required.
• Ensure appropriate onboarding of employees into USMA framework in collaboration with Global Learning and Development.
• Ensure an effective medical contribution to the review and approval processes for U.S. promotional and non-promotional materials, ensuring medical accuracy and compliance (PRC).
• Ensure an effective medical contribution to the U.S. Medical Review Committee (MRC), ensuring timely and compliant review of medical content.
• Manage the USMA input into PRC and MRC escalation
• Collaborate closely with U.S. Commercial, Regulatory, Legal, and Compliance teams to support business objectives while upholding medical affairs framework standards.
• Ensure adherence to U.S. regulatory and industry standards including FDA promotional guidelines, PhRMA Code, and OIG compliance requirements.
• Provide medical governance oversight for U.S. medical field activities (e.g., MSL engagements, scientific exchange, advisory boards, studies).
• Support audits and inspections as needed.
• Up to date on emerging global and U.S. regulatory, clinical, ethical and compliance trends and assess their impact on USMA framework.
• Act as key liaison between Medical Affairs, Regulatory, Legal, Compliance and Commercial teams to ensure medical affairs has the optimal framework to enable compliance and USMA deliverables.
• Oversee risk assessments and implement control measures for emerging issues and manage medical and scientific risks across the US Affiliate.
• Develop appropriate metrics and dashboards to reflect key performance indicators for effective Medical Affairs framework within the US.

Qualifications:

• Advanced degree in a life science discipline (MD, PharmD, or PhD strongly preferred).
• Minimum 5 years of experience in U.S. Medical Affairs roles within the pharmaceutical or biotech industry.
• Deep understanding of US FDA regulations, PhRMA Code, Sunshine Act, and other applicable laws and guidance.
• Proven understanding or ability to lead governance frameworks within a US-based, cross-functional Medical Affairs environment.
• Strong experience in promotional review committees and medical content governance.
• Exceptional interpersonal, influencing, and communication skills.
• Strategic mindset with the ability to navigate complex challenges and drive ethical, compliant decision-making.

The salary range for this position is: Other US Locations: $221,000.00 - $286,000.00. Bay Area: $243,100.00 - $314,600.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans.

Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance.

Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.

A postdoctoral fellowship is available at the Stanford University School of Medicine focused on implementing machine learning on population-scale clinical and biological data to characterize biological aging, resilience, and rejuvenation.

This is a unique opportunity to apply ML in unconventional and paradigm-shifting research with the potential to directly and broadly impact human lives. By joining our research group, you will:

• Have direct access to unparalleled population-scale clinical and biological data sources, along with the computational resources required to analyze these data and develop sophisticated machine learning models.
• Work in a highly collaborative environment with researchers from diverse backgrounds in medicine, biological sciences, and computer science.
• Collaborate with world-leading experts at Stanford University across the spectrum of AI, medicine, and biology.
• Be part of an environment strongly committed to translating research findings into actionable insights and scalable real-world products. We encourage (and financially support) our postdoctoral fellows to pursue extensive training in entrepreneurship and business management through Stanford’s Graduate School of Business. This position is well suited for candidates interested not only in state-of-the-art academic research, but also in exploring industrial and entrepreneurial career trajectories.

As a Stanford postdoctoral scholar, you will receive a highly competitive salary and comprehensive benefits, including best-in-class health and dental insurance. You will also receive priority consideration for Stanford housing and have access to Stanford’s broad range of professional development, learning, and growth resources.

Relevant background:

• MD or PhD, with research experience building and/or applying machine learning models during graduate studies, industry, or postdoctoral work.
• Excellent publication record.
• Interest in medicine and biology.
• Familiarity with modern AI/ML platforms and libraries (e.g., PyTorch and/or TensorFlow), traditional machine learning frameworks (e.g., scikit-learn), and statistical analysis in Python.

Preferred, but not required:

• Familiarity with electronic health record (EHR) data and cohort/outcome definition using EHRs.
• Experience in medicine and/or biology, particularly in aging-related research and omics-based analyses.
• Broad experience across diverse AI/ML concepts, including causal inference.
• Publications in leading AI/ML, biology, or medicine conferences and journals.

Keywords:

Machine Learning, Precision Medicine, Biology, Omics, Proteomics, metabolites, Electronic Health Records, Artificial Intelligence, Data Science, Deep Learning, Bioinformatics

How to Apply:

• To receive full consideration, please apply using the following google form:  can be directed to
• For more information please visit: 

NorthBay Health’s Program Director of the Internal Medicine Residency Program will play a pivotal leadership role in shaping and launching our new residency program.

This is a unique opportunity to build and guide a program from the ground up, helping to develop the next generation of physicians while advancing NorthBay Health’s commitment to clinical excellence and medical education.

The Program Director will be responsible for the leadership, organization, development, and overall administration of the Internal Medicine Residency Program. In this role, the Director will establish the strategic vision for the program and ensure it meets the highest standards of graduate medical education.

The position is accountable for maintaining program quality, accreditation standards, and a strong reputation for training outstanding physicians in a collaborative and innovative learning environment.

In partnership with physician practices and hospital clinical services, the position integrates the Internal Medicine Residency Program in a manner that enhances value and quality while promoting an optimal environment for professional practice and medical education.

The Program Director designs and conducts the program in alignment with the needs of the community, the mission of NorthBay Health (the sponsoring Institution), and the mission of the residency program. Additionally, the Program Director administers and maintains a learning environment conducive to educating residents across all ACGME Competency domains.

Physician will work a combination of Clinical and Residency Program Director equaling a 1.0 FTE

Qualifications

Education and Licensure:

• MD or DO Degree from an Accredited Medical School
• Board Certified by the American Board of Internal Medicine (ABIM) or by the American Osteopathic Board of Internal Medicine (AOBIM)
• Unrestricted licensed to practice medicine in the state of California

Experience:

• Academic Appointment: 5 years’ Faculty experience as a member of an ACGME accredited Internal Medicine Residency Program.
• Minimum of 3 years of documented educational and/or administrative experience in Graduate Medical Education.
• Compliance: Deep knowledge of and adherence to ACGME program requirements, including maintaining accreditation, scholarly activity, and mentoring
• Clinical Experience: Extensive clinical experience, often with a minimum of 3 years of postgraduate training
• Possess the required specialty expertise, as well as documented educational and administrative abilities, to carry out the responsibilities of the role and to achieve the goals and objectives of the program.

Skills:

• Conflict Mediation: The ability to navigate high-stakes disagreements between residents, faculty, and hospital administration with diplomacy.
• Empathetic Mentorship: Providing supportive guidance and active listening to manage resident well-being and professional growth.
• Adaptive Leadership: Modeling clinical excellence while remaining agile enough to adjust the program to changing ACGME regulations.
• Strategic Communication: Articulating a clear vision for the program and delivering difficult, constructive feedback with tact.
• Organizational Integrity: Managing sensitive personnel data and accreditation requirements with high ethical standards and extreme attention to detail.
• Proficient in using medical software and electronic health records (EHR), Cerner and EPIC a plus
• Fiscal Management: Oversight of program budgets
• Data Analytics: Ability to analyze resident performance metrics, milestone evaluations and board pass rates to implement quality improvement initiatives.
• Regulatory Oversight: Ensuring strict adherence to California-specific requirements, such as the post graduate training license (PTL) reporting and physician wellness mandates.

Physical Effort and Working Conditions:

• Attendance is an essential function of the job.
• The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Compensation and Benefits (Employed):

• Income: non-specialized IM physician $200/hr specialist IM Physician so $240/hr
• Sign on bonus available
• Relocation Assistance for qualified candidates
• CME/Dues up to $8,000 annually
• Production Incentive available for clinical hours
• A positive work-life balance
• Collaborative and energized clinical teams

Open date: June 14, 2025

Most recent review date: Tuesday, Jul 29, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Aug 25, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The College of Chemistry at the University of California, Berkeley is generating an applicant pool of qualified lecturers to teach graduate courses on the Berkeley campus for the Master of Molecular Science and Software Engineering (MSSE) Program should an opening arise. We are seeking dynamic lecturers with a commitment to graduate education in computational science, data science, and software engineering to lead multiple courses each year. Disciplines where we are seeking instructors include:

• 
  
• Computational Chemistry
  
• Computational Quantum Chemistry
  
• Scientific Computing
  
• Machine Learning/Deep Learning
  
• Structural Bioinformatics
  
• High Performance Computing
  
• Complex mathematical modeling and simulations
  
• Leadership, management, and entrepreneurship
  

The MSSE Program is a unique program that is designed to formally train scientists, engineers, and computer scientists in computational and data science, and to provide them with the tools, software engineering practices, leadership, management, and entrepreneurial skills needed to create or lead science- or engineering-based enterprises. While the degree focuses on the molecular sciences, its content is suitable for any student pursuing software engineering or data science roles in other science-based industries, or in other areas that require advanced machine learning, complex mathematical modeling and simulations, or high-performance computing.

General Duties:

Classroom teaching and preparation, managing and mentoring graders and/or graduate student instructors (teaching assistants), holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and using Cal's electronic resources for course management.

The MSSE Program seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Program:

Contract for the Lecturers Unit (IX) between the University of California and the American Federation of Teachers:

Advanced degree or enrolled in an advanced degree program.

Advanced degree.

• 
  
• A Ph.D., or equivalent international degree, in an area related to computational science, data science, and/or software engineering
  
• Prior teaching and/or work experience in computational science, data science, and/or software engineering
  
• Leadership, management, and entrepreneurial skills in STEM fields
  
• Existing authorization to work in the U.S.
  
• Proficient in C++ and Python programming languages
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter (Optional)

  
  

• Statement of Teaching

  
  

• 3-5 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: June 14, 2025

Most recent review date: Saturday, Jun 28, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Thursday, Oct 1, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The College of Chemistry at the University of California, Berkeley invites applications for a pool of temporary instructors to assist in teaching graduate courses online for the Master of Molecular Science and Software Engineering (MSSE) Program, should an opening arise. Candidates will support the primary instructors assigned to the courses.

Disciplines where we are seeking lecturers in lieu of GSIs include:

• 
  
• Computational Chemistry
  
• Scientific Computing
  
• Bioinformatics
  
• Machine Learning/Deep Learning
  
• High Performance Computing
  
• Complex mathematical modeling and simulations
  
• Computational Quantum Chemistry
  
• Leadership, management, and entrepreneurship in a computational science company or organization
  

General Duties

Duties include assisting or leading lectures, leading or assisting in labs or discussions, and other activities customarily related to instructional assignments (i.e., grading assignments, submitting/maintaining student records, responding to student questions, tutoring students, holding regular office hours, course material preparation, attending relevant meetings, orientations, etc.).

The MSSE Program seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Program:

Union contract: resources/employment-policies-contracts/bargaining-units/non-senate-instructional/contract/

A bachelor's degree, or equivalent international degree, or enrolled in a bachelor's degree, or equivalent international degree, program.

A bachelor's degree, or equivalent international degree, and authorization to work in the U.S.

• 
  
• A master's degree, or equivalent international degree, in an area related to computational science, computational chemistry, bioinformatics, data science, high performance computing, mathematical modeling and simulations, or software engineering
  
• Proficiency in C++ and Python programming languages
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter (Optional)

  
  

• Statement of Teaching (Optional)

  
  

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Looking for a Gen AI architect with 15+ years experience and 8+years experience focusing on Model Optimization, Fine-Tuning & Strategic AI in San Francisco, CA.

Role Summary:

You represent the pinnacle of Applied AI engineering. You are not just using APIs; you are optimizing the models themselves. You understand the mathematics behind the attention mechanism, you know how to squeeze performance out of GPUs, and you can customize models for specific domains. You provide the high-level technical vision and handle the most difficult edge cases. .

Key Responsibilities:

Model Fine-Tuning: Implement PEFT (Parameter-Efficient Fine-Tuning), LoRA, and QLoRA to adapt open-source models (Llama 3, Mistral) to specific client domains.

Optimization & Quantization: Perform model quantization to reduce inference costs and latency without sacrificing quality. Manage Dense Vectors and embedding optimizations.

State-of-the-Art Exploration: Continuously research and implement the latest advancements (e.g., State Space Models, Long-Context optimizations) into client deliverables.

Strategic Consulting: Act as a trusted advisor to C-level client executives, defining the "Art of the Possible" and guiding long-term AI roadmaps.

Technical Requirements:

Deep Learning: PyTorch/TensorFlow, Transformers architecture internals, Attention mechanisms.

Model Ops: Serving custom models (vLLM, TGI), GPU memory management, Quantization techniques (GGUF, AWQ).

Advanced Data: Training data curation, synthetic data generation, RLHF concepts.

Tech Leadership: Ability to define the technical culture and set standards for the entire FDE organization.

Soft Skills:

Executive communication and ability to influence C‑level leaders.

Thought leadership and industry presence (conferences, playbooks, forums).

Cross‑org leadership and conflict resolution.

Ability to define long‑term AI vision and cultural standards.

Strategic decision‑making balancing cost, risk, and performance.