Codashop Ml, PH Jobs in Usa

Open date: March 5, 2026

Next review date: Saturday, Mar 21, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Monday, Apr 6, 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 Department of Physics at the University of California, Berkeley seeks applications to hire one or more Postdoctoral Scholars to perform research in the area of nuclear and particle physics.

This position will be in the Weak Interaction group in the Physics Department of UC Berkeley. The group focuses on searches for Lepton Number and Lepton Flavor violating processes with the CUORE and CUPID experiments at Gran Sasso, Italy; the MOLLER experiment at Jefferson Laboratory; and the Mu2e experiment at Fermilab.

The successful candidate will conduct research on the analysis of data and simulations of the rare event experiments CUORE, CUPID, and Mu2e; the development of novel analysis and statistical techniques; and the development of novel instrumentation in support of current and future experiments in nuclear and particle physics.

Labor Contract: resources/employment-policies-contracts/bargaining-units/postdoctoral-scholars/contract/

Department:

Weak Interaction Group: research-faculty/nuclear-physics

Candidates must have obtained their Ph.D. or equivalent international degree or be in the process of obtaining a Ph.D. or equivalent international degree at the time of application.

* Ph.D. or equivalent international degree by the start date of the job.

* No more than three years of previous postdoctoral experience by the start date.

* Ph.D. in Physics or Nuclear Engineering, with specialization in particle physics, nuclear physics, or instrumentation development.

* Working knowledge of analysis and simulation tools (ROOT, Geant4).

* Theoretical knowledge of neutrino physics and lepton flavor violation.

* Specialized skills in cryogenic detector technology, and computational expertise.

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

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 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
  

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 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.

This is a supervisory position
This position does have financial responsibilities.
This position will not be required to drive.
This role is considered a position of trust.
This position does not require a purchasing card (P-Card).
This position does not require security clearance.
This position is located in Atlanta, GA

The School offers B.S., M.S. and Ph.D. degrees in Biology, an M.S. degree in Bioinformatics, and M.S. and Ph.D. degrees in Applied Physiology. It also participates in the interdisciplinary B.S. degree programs in Neuroscience and Environmental Science, and interdisciplinary Ph.D. programs in Bioinformatics, Neuroscience and Neurotechnology, Quantitative Biosciences, Ocean Science and Engineering, and Computer Science and Engineering. Research interests of the faculty of the school span Computational Biology and Bioinformatics; Ecology, Evolution, and Behavior; Microbial Dynamics and Infection Biology; Genetics and Genomics; Integrative Physiology; and Molecular and Cell Biology. The School has a state budget of ~$13M per year and research expenditures amount to ~$19M per year. The School currently has 46 tenured/tenure-track faculty, 20 full-time instructional faculty members, 37 research faculty and postdocs, 26 state-supported staff positions, and 28 grant-supported staff. There are 574 undergraduate biology majors and 272 graduate students (M.S. and Ph.D.). For further information please refer to the school's web site at Summary

The School of Biological Sciences of the Georgia Institute of Technology (Georgia Tech) in Atlanta, Georgia invites applications for the position of Chair of the School and Professor, with an anticipated starting date of August 1, 2026. Candidates must hold an earned doctorate (or equivalent) in a relevant discipline, along with an outstanding record as a researcher, educator and mentor suitable for appointment with tenure, and a proven record of effective leadership and community building. Candidates should exhibit a strong commitment to collaboration and communication that values the breadth of the discipline, the diverse roles of individuals, and the development of students, postdoctoral fellows, staff and faculty. They should also demonstrate a commitment to Georgia Tech's core values (values), the Institute's education and research mission, and fund raising (institutional development). The expected rank at appointment is at the level of full professor, however applicants at all tenure-eligible ranks will be considered.

The school chair will be an advocate for the school, its students, post-docs, faculty and staff; seek resources to support enrollment growth and the development of new programs; and maintain and develop interactions with other units of Georgia Tech and outside agencies.

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.

Candidates must have an earned doctorate, or equivalent, in a relevant discipline, along with an outstanding record as a researcher, educator and mentor that is suitable for appointment with tenure.

Student Success Criteria:
- The ability to promote a welcoming educational/work environment
- The ability to teach and mentor a distinct student body

Completed applications will include the following three documents, submitted as separate PDF files:

(1) A letter of interest in the position that outlines the candidate's qualifications for the position with a particular focus on past leadership experiences and a vision for leadership of an academic department that is aligned with Georgia Tech's mission and values that are described in our strategic plan (values).

(2) A curriculum vitae that includes the applicant's record of teaching, publications, grants, advising, and administrative and leadership experience.

(3) A brief, high-level vision of the candidate's potential research program and its fit with Georgia Tech (2 pages or less). This should be uploaded as the additional document in the Careers portal.

Reference letters are not required at this time. These will be requested only for the finalists who are invited to on-campus interviews.

An earned doctorate is required by the start of the appointment, and a background check must be completed prior to beginning employment.

Inquiries about the position should be addressed to Professor Jean Lynch-Stieglitz, Search Committee Chair ().

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 ( ).

Open date: February 2, 2026

Most recent review date: Monday, Feb 23, 2026 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: Friday, Jul 31, 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 Institute for Business and Social Impact at UC Berkeley seeks to hire a postdoctoral scholar who applies pioneering, rigorous empirical analysis to policy-relevant questions in applied economics, development, mental health, labor, or closely related fields.

We are especially interested in candidates whose work combines empirical causal inference, administrative or large-scale data, and topics related to development, labor markets, mental health (broadly defined, e.g., measurement, interventions, behavioral mechanisms, digital or light-touch mental health tools), or behavioral economics. We welcome applicants with strong foundations in empirical methods in economics and/or experience designing, implementing, or overseeing large-scale randomized controlled trials.

The ideal postdoctoral scholar will have demonstrated excellence in using modern empirical methods-including econometrics, experimental and quasi-experimental techniques, and/or machine learning approaches for prediction and causal inference-to study policy-relevant questions in development, labor, mental health, or related fields. We seek a postdoctoral scholar who bridges applied microeconomics with behavioral and mental-health insights, using empirical and machine-learning tools to study social and economic policy.

Duties of Position:

The position offers direct engagement in new and exciting research opportunities and personal mentorship from faculty and researchers on the team. The postdoctoral scholar will gain an expanded network of collaborators and become a member of the UC Berkeley research community by actively participating in seminar series and internal workshops to present and receive feedback on their work.

The postdoctoral scholar will be expected to join and develop a research agenda in collaboration with their supervisor and Faculty Director, Paul Gertler, along with Laura Chioda, IBSI's Chief Data Scientist, and IBSI's network of researchers.

Ph.D. (or equivalent international degree), or enrolled in a Ph.D. or equivalent international degree program at the time of application.

* Ph.D. (or equivalent international degree) by the start date.

* No more than three years of post-degree research experience.

Ph.D. holders in economics and related fields specializing in applied microeconomics, development, mental health, or behavioral economics are invited to apply.

We particularly encourage applications from postdoctoral scholars whose work integrates theory-driven mechanisms with rigorous empirical analysis, including field experiments (RCTs) or the use of large-scale administrative datasets. Experience developing research projects in collaboration with non-academic stakeholders-such as NGOs, governments, or industry partners-is highly valued.

Preferred Technical & Professional Skills

* Advanced Programming: Proficiency in R, Stata, and/or Python.

* Computational Expertise: Familiarity with machine-learning methods for prediction and causal inference, including experience with unstructured data.

* Quantitative Foundation: Strong skills in econometrics and statistics, backed by advanced doctoral coursework.

* Data Management: Excellent organizational capabilities and experience managing complex datasets.

* Communication & Collaboration: Fluency in English with the ability to communicate research findings clearly and work effectively within a multi-disciplinary team.

Professionalism: High degree of self-motivation, flexibility, and the ability to manage multiple workstreams efficiently.

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

  
  

• Cover Letter

  
  

• Writing Sample - Job Market Paper or one PhD dissertation chapter- or article length writing sample.

  
  

• Research Agenda - A 1-page summary of your research agenda non-technical language, suitable for a broad audience outside of your discipline

  
  

• 3-5 required (contact information only)

References should be from individuals who are familiar with the applicant's written work and qualifications for the position.

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: January 16, 2026

Most recent review date: Thursday, Feb 12, 2026 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, Jun 30, 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 O'Donnell Center for Behavioral Economics and Finance, housed jointly in the Haas School of Business and the Department of Economics, seeks applications for a Postdoctoral Scholar-Employee, with expertise in behavioral economics or behavioral finance, and strong econometric or theory training.

The Postdoctoral Scholar will be part of Berkeley's O'Donnell Center for Behavioral Economics and Finance, housed jointly in the Haas School of Business and the Department of Economics. The center's mission is to support rigorous academic research in various areas of behavioral economics, including all areas of applied microeconomics, financial economics, macro-finance, political economy, public economics, and health economics. We also pursue research in collaboration with researchers in neuroscience, cognitive science, and medicine. Ulrike Malmendier and Stefano Della Vigna, both joint faculty members at the Haas School of Business and the Department of Economics, co-direct the center. Faculty from the departments of Agricultural and Resource Economics, Economics, the Haas Business School, the School of Public Health, the Goldman School of Public Policy, and the Information School are affiliated with the initiative. Ulrike Malmendier will be the primary faculty lead.

Duties of Position:

The position offers direct engagement in new and exciting research opportunities and personal mentorship from faculty and other researchers on the team. Scholars will gain an expanded network of collaborators and become members of the UC Berkeley research community by actively participating in seminar series and taking advantage of various internal workshops to present and receive feedback on their work. The postdoctoral scholar will also have time for their own complementary research. The scholar will also be expected to join and develop a research agenda in collaboration with their supervisor.

Areas of research interest include, but are not limited to:

-models and empirical evidence of belief formation in macro-finance, especially work on experience effects and memory formation;

-household decision-making: household finance, health choices, consumption

-firm decision-making: corporate finance and in particular managerial biases, including overconfidence, sunk-cost fallacy, and hindsight bias;

-neuroscience foundations of modern models of belief formation and economic/financial decision-making mental health, trauma.

Applicants are expected to pitch their existing research. They may also at their discretion (1) propose possible areas of collaboration, including concrete project ideas, and (2) contribute to possible projects of collaboration proposed by us.

Program: behavioral-economics/

Ph.D. (or equivalent international degree), or enrolled in a Ph.D. (or equivalent international degree) program at the time of application.

Ph.D. (or equivalent international degree) by the start date.

No more than two years of post-degree research experience.

All candidates with a Ph.D. (or equivalent international degree) by start date in economics, finance, and related fields with interest in studying themes related to behavioral economics behavioral finance, and applied economics are invited to apply.

Scholars with strengths in applied microeconometrics, field experiments, and applied data science (including machine learning and computational methods for working with unstructured data) are particularly encouraged.

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

  
  

• Cover Letter

  
  

• Statement of Research - A summary of your research agenda non-technical language, suitable for a broad audience outside of your discipline

  
  

• 2-6 required (contact information only)

References should be from individuals who are familiar with the applicant's written work and qualifications for the position.

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
  

Title: Program Manager – PHS

Location: Midtown New York, NY

Org Unit: Administration

Workdays: Weekly Hours: 35.00

Exemption Status: Exempt

Salary Range: $106,300.00 - $125,000.00

Position Summary

Under the direction of the CAO for the Department of PHS, the PHS Program Manager is responsible for the planning, executing and implementation of multiple large and complex programs and initiatives.

Job Responsibilities

• Builds working relationships with key faculty across the department and external stakeholders to facilitate initiatives effectively and efficiently.
• Prioritize tasks and engagements aligned with the Sr. Assoc Dean/Chair’s mission-driven agenda and strategic priorities.
• Works closely with the leadership team in preparation and coordination of various reports and presentations for the Chair, including power point, memos, agendas and slides in advance for meetings.
• Manage all aspects of the Sr. Assoc Dean /Chair schedule, including complex calendar coordination, travel arrangements, expense processing, and meeting logistics.
• Support the Data Coordinating Center’s projects and logistics.
• Defines scope, goals, and deliverables in support of business needs, and works with the department leadership team for approval.
• Monitors and manages execution phase to ensure that projects are completed on time and meet all PHS business requirements.
• Develop and manage systems for stakeholder communications and key contacts.
• Perform other duties as assigned, contributing to the long-term success and evolution of the department and institutional mission.

Education

• Bachelor's Degree
• Master’s degree highly desired

Experience

Approximately 3-7 years of relevant experience.

Experience with project management software.

Knowledge, Skills and Abilities

• Excellent communication skills (both verbal and written).
• Strong leadership skills.
• Flexibility and adaptability to changing schedules.
• Patience, calm demeanor, and commitment to exceeding expectations in support of the Sr. Assoc Dean /Chair.
• Excellent analytical, organization and planning skills.
• Outstanding interpersonal and cooperation skills.
• Ability to participate as a team member and work independently, with limited supervision.
• Ability to use judgment, tact and discretion and maintain a high level of confidentiality.
• Demonstrated proficiency with MS Office Suite and database applications.

Our client in southern California is seeking a full-time permanent Licensed Psychologist (Ph.D) for their large critical care access hospital. Open to the ideal Behavioral Health provider, Licensed Psychologist (Ph.D) seeking warm weather and the following:

• FT Perm
• Open to new grads
• Student loan forgiveness
• Relocation Assistance
• Great community

Please call or send your CV for consideration regarding this Licensed Psychologist (Ph.D) role or any other Licensed Psychologist (Ph.D) opportunities nationwide.

Good people know good people! Please feel free to share my information to your colleagues and peers. Make sure they give me your name when they call as we pay $250 referral bonus for a placement.

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Technical Product Manager - Data & ML Infrastructure

A stealth-mode AI startup is looking for a Technical Product Manager to join a team of engineers and researchers from Google and Frontier AI labs. You'll be leading the build and strategy of foundational systems that power machine learning and data-intensive applications, tackling problems where performance, reliability, and scale matter.

The Technical Product Manager will sit at the intersection of product, engineering, and AI research. They will define the roadmap for core data and ML infrastructure, work closely with engineering teams to translate ambitious technical goals into actionable plans, and engage directly with customers to ensure solutions solve high-impact problems.

This is not a typical PM role. The ideal candidate will need deep technical understanding of data systems, ML infrastructure, and pipelines, paired with the ability to prioritize and advocate relentlessly for customer needs. They’ll thrive in an environment where ambiguity is high, and technical decisions have immediate real-world impact.

The ideal candidate will have:

• 3+ Years' Product Management experience
• Strong technical background with experience in software engineering or ML systems
• Deep knowledge of data and ML infrastructure, including pipelines, storage, and compute
• A proven track record of working directly with customers to understand and solve real problems
• Excellent problem-solving and prioritization skills in fast-moving environments
• The ability to balance technical feasibility, user value, and long-term product vision

This role offers the chance to help shape the backbone of cutting-edge ML applications, working alongside a team with deep expertise in AI and engineering. It’s a high-ownership, high-impact role for someone who loves both building and defining technically complex products.

Job Title: Business Analyst -Pharma R&D

Location : SFO, CA (Onsite)

Client – Coforge / Genentech

C2C $70/Hr

Role Overview

Business Analyst with experience in Pharma R&D imaging systems, including radiology (DICOM) and digital pathology (non‑DICOM) platforms. The role focuses on requirements analysis, workflow definition, and validation documentation for image viewing, annotation, and ML‑enabled imaging solutions used in regulated clinical and research environments.

The Business Analyst acts as a bridge between R&D scientists, data scientists, ML validation specialists, quality teams, and IT, ensuring that business, clinical, and regulatory requirements

Job Description

Imaging Platform & Business Requirements

• Lead business and functional requirements gathering for radiology and digital pathology image viewing and annotation platforms used in Pharma R&D.
• Engage with R&D scientists, clinical operations, imaging SMEs, and CROs to understand workflows for image ingestion, review, labeling, and annotation.
• Define end‑to‑end requirements for image ingestion, data quality checks, metadata harmonization, viewing, annotation, and downstream analytics.
• Document as‑is / to‑be workflows, use cases, functional specifications, and non‑functional requirements (performance, usability, scalability, compliance).
• Work with Data Scientists and ML Validation Specialists to document business and clinical requirements for ML algorithms applied to imaging data with intended use of ML models in radiology and digital pathology workflows
• Ensure ML requirements align with GCP, FDA, and internal quality standards, without directly performing algorithm testing.
• Manage requirement changes and ensure traceability throughout the delivery and validation lifecycle.

Preferred Skills

• Prior experience working with Pharma companies or CROs on imaging or R&D data platforms.
• Strong documentation, communication, and cross‑functional stakeholder management skills.

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About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

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• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

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• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
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  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

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• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion: