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Opportunities available for a Business Intelligence Analyst to join our Community Medical Group family!

We are seeking a Business Intelligence Analyst to support organizational growth by transforming complex data into clear, actionable insights. This role partners closely with executive leadership, IT, and cross functional teams to develop reporting, dashboards, and analytics solutions that drive operational efficiency, strategic planning, and improved performance across the organization.

In addition to our competitive pay, we also offer:

• 17 PTO Days
• 11 paid Holidays
• 1 Floating Holiday
• United Healthcare for our health, dental, and Vison plans
• 401k + Employer Match
• Company paid Life Insurance
• An engaging work environment
• Growth opportunities plus so much more!

What will you be doing?

• Analyze complex structured and unstructured data to identify trends, patterns, and performance insights
• Develop and deliver reports, dashboards, and visualizations using PowerBi.
• Build and maintain data models to support forecasting, predictive analytics, and business planning
• Collaborate with business leaders and technical teams to gather requirements and translate needs into analytics solutions
• Ensure data accuracy, integrity, and governance standards are maintained

What do we need from you?

• Bachelor’s degree in Computer Science, Statistics, or a related field
• Master’s degree preferred
• Minimum of two years of experience in business intelligence, data analytics, or a related role
• Minimum two years with PowerBi reporting
• SQL proficient, familiarity with Python and ETL processes/tools
• Healthcare experience preferred

Passion| Service | Integrity | Accountability

#CMGProud

We are recruiting a highly motivated postdoctoral researcher to join our spatial proteomics laboratory located at the Broad Institute, where we apply mass spectrometry-based spatial proteomics to human skin disease.

Position available from June 2026

Who we are

Our lab addresses fundamental questions in human skin disease, with recent publications in Nature and Nature Methods, including the discovery of a JAK inhibitor-based treatment for a lethal skin disease. We aim to bridge the gap between molecular discovery and clinical translation, and offer access to patient cohorts at MGH, our own state-of-the-art proteomics platform, and the scientific environment of the Broad Institute.

What we offer

• A research program designed for high-impact publications at the interface of proteomics and translational medicine, for real-world clinical impact
• Expertise in Deep Visual Proteomics (DVP)
• A dedicated Orbitrap Astral Zoom platform and full proteomics infrastructure
• Access to deeply phenotyped patient cohorts
• The intellectual environment of the Broad Institute and Harvard Medical School
• Mentorship toward an independent scientific career

What we are looking for

The ideal candidate is a hands-on mass spectrometrist with:

• A PhD in analytical chemistry, biochemistry, proteomics, or a related field
• Deep practical experience operating and optimizing modern mass spectrometers and LC-MS workflows (3+ years)
• Hands-on experience with proteomics sample preparation, including low-input or FFPE tissue workflows
• First-author publications and a genuine curiosity about biology, with a track record of technical innovation: you have built, improved, or solved something others had not
• Comfort with data analysis scripting (Python or R)
• The drive to push limits in a clinically meaningful direction
• Excellent written and spoken English

How to apply

Please include a CV, a brief statement of your research interests & technical background (half page), and contact information for two referees.

We are supporting a leading global life sciences organization with the addition of an IT QC Systems Analyst to support Quality Control (QC) laboratory operations at a regulated manufacturing site in Worcester, MA.

This is a hands‑on, onsite role focused on laboratory systems support, validation, data integrity, and process optimization within a GMP environment.

This role partners closely with laboratory, operations, and enterprise IT teams to ensure systems remain compliant, reliable, and optimized to support daily QC activities.

Contract Details:

• Duration: 12 months
• Work Type: Onsite (Worcester, MA)
• Pay: Competitive hourly rates (W2 or C2C available)

Key Responsibilities:

• Provide technical and operational support for QC laboratory systems, instruments, and associated software in a GMP environment.
• Support validation activities and documentation, including SIQ, SOQ, spreadsheet validation, and periodic validation reviews (PVRs).
• Develop, maintain, and troubleshoot Excel spreadsheets and macros to streamline data processing, reporting, and compliance activities.
• Perform Windows upgrades, PC decommissions, software installations, and system upgrades for lab and operations computers.
• Support digital transformation initiatives by gathering requirements and feeding improvements to enterprise IT teams.
• Assist with process optimization, elimination of manual workflows, and data integrity assurance across laboratory operations.
• Support and administer operational systems such as SAP, Infor, and MES platforms (including POMS).
• Install and support Acronis and NuGenesis software on laboratory PCs.
• Provide support related to OSI PI / data historian systems as needed.

Required Qualifications:

• 3+ years of experience supporting QC laboratory systems or applications in a GMP environment.
• Strong experience with Excel, including macro development and troubleshooting.
• Working knowledge of validation processes and documentation (SIQ, SOQ, spreadsheet validation).
• Experience supporting QC lab instruments, lab software, and Windows‑based systems.
• Hands‑on experience with Windows OS installations, upgrades, and system support.
• Familiarity with enterprise operational systems such as SAP, Infor, or MES (POMS).
• Strong problem‑solving, communication, and organizational skills.

Preferred Experience:

• Background in life sciences, pharmaceutical, or biotech environments.
• Prior experience supporting QC labs in regulated manufacturing settings.
• Experience with ITIL and GAMP frameworks.
• Exposure to Waters Empower, OSI PI, or similar data historian platforms.
• Experience with PowerApps, Power BI, SharePoint administration, or cloud platforms (AWS/Azure).
• Knowledge of Python, Java, or SDLC concepts is a plus.

Education:

• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent hands‑on experience.

Why This Role:

• This position plays a critical role in maintaining compliance, reliability, and operational excellence within QC laboratories. You’ll work closely with lab users, IT teams, and stakeholders to ensure systems support high‑quality manufacturing and continuous improvement.

Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.

Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.

California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Job Title: Support Engineer

Location: Seattle, WA / Bothell, WA (On-site)

Job Type: Full-time

About Us:

Cinnamon is a forward-thinking healthcare technology company focused on empowering patient advocates through innovative solutions. By automating critical processes, we help healthcare organizations secure financial assistance for their patients efficiently and securely. Our mission is to improve healthcare accessibility while maintaining the highest standards of data integrity, compliance, and customer trust.

Role Summary:

We are seeking a skilled Support Engineer to lead technical support efforts for healthcare customers and internal Cinnamon users. This role partners closely with engineering, product, implementation, clinical operations, and security teams to resolve complex issues, improve system reliability, and deliver a high-quality user experience across the platform. You will handle escalations, guide support processes, and contribute to a strong operational and security posture. The ideal candidate excels at cross-functional troubleshooting, clear communication, and customer empathy.

Key Responsibilities:

• Own customer support issues end to end and ensure timely, accurate resolutions
• Support customer onboarding by validating configuration, reviewing workflows, and preparing customers for go-live
• Deliver advanced training and create materials that help clinical and administrative teams adopt the platform effectively
• Serve as the escalation point for Jira Service queues and guide triage and prioritization
• Provide advanced support to internal users across authentication, access, feature flagging, analytics, logging, VPN, GitHub, password management, and productivity tools
• Investigate and resolve issues across GCP services, , Auth0 flows, LaunchDarkly configuration, Mixpanel events, NordLayer access, GitHub permissions, 1Password access, and related systems
• Maintain and improve documentation in Confluence, including workflow diagrams, runbooks, SOPs, and troubleshooting guides created in Lucidchart
• Perform proactive system monitoring using GCP logs, , uptime indicators, and automated alerts to detect and address issues early
• Reproduce issues, validate fixes, analyze root causes, and collaborate with engineering to improve reliability and data integrity
• Ensure support follows HIPAA-aligned privacy, security, and data handling requirements
• Surface findings from Intruder and SecurityScorecard and track remediation with security and engineering teams
• Identify recurring patterns in support tickets, propose workflow and product improvements, and contribute insights to roadmap discussions
• Mentor junior support engineers and help develop team best practices
• Participate in incident response efforts for issues affecting multiple customers or systems

Required Qualifications:

• 4-6 years of experience providing technical support in a SaaS, healthcare, or cloud-based environment
• Proven experience supporting healthcare customers or healthcare data workflows
• Experience owning escalations and complex troubleshooting efforts in coordination with engineering or product teams
• Proficiency with Jira Service Management for issue triage and workflows analysis
• Experience supporting enterprise SaaS platforms for authentication, identity management, analytics, logging, VPN access, and secure productivity operations
• Hands-on experience with Google Cloud Platform logs, error reports, service metrics, or interactions with Cloud Run and Cloud Functions
• Strong understanding of QA processes, root cause analysis, and cross-environment troubleshooting
• Excellent communication skills with the ability to explain technical issues to non-technical healthcare users
• Strong documentation skills maintaining shared knowledge bases or support playbooks
• Comfort handling workloads involving sensitive healthcare information and security-related tasks

Preferred Qualifications:

• Scripting or automation experience in Python, Bash, or PowerShell
• Familiarity with HL7, X12, FHIR, or common healthcare data exchange patterns
• Experience supporting customers during EHR integrations or workflow onboarding
• Experience with remote support tools such as TeamViewer or AnyDesk
• Experience building documentation or diagrams in Confluence and Lucidchart
• Exposure to security monitoring tools or vulnerability management processes
• Prior mentorship or leadership experience in a support environment

What We Offer:

• A competitive salary and stock options grant
• Holiday schedule according to your country of residence and PTO
• An innovative and high-paced work environment with a flat management hierarchy
• Opportunities for professional growth and advancement in a rapidly scaling company

How to Apply:

Send your resume and a cover letter detailing your relevant experience and interest in the position to We look forward to reviewing your application and exploring how you can help us advance healthcare through innovation and technology!

Join us in transforming healthcare through innovative technology!

Senior Computer Vision Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Computer Vision Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

HYBRID NORTH CHICAGO IL

PAY: $60-$65/hr

REQUIRED:

• PhD or Master's degree with extensive experience in Quantitative Systems Pharmacology or Systems Biology model development,

Proven scientific track record and practical experience in several of the following areas:

• Statistical modeling
• Modeling with differential equations
• Model-Informed Drug Development (MIDD)
• Quantitative Systems Pharmacology (QSP) models
• Scripting languages (R, Matlab, Python)
• Drug development
• Critical thinking and self-reflective
• Persistent and resilient
• Ability to connect unrelated concept and to generate original or unique ideas
• Fluency in English required, German would be a plus

Job Description:

• Pharmacometrics is concerned with the mathematical and statistical analyses and modeling of biological, pharmacological, and physiological data and processes. It quantifies the various aspects of the (desired and undesired) effects of drugs in the context of disease. The models are based on clinical data, and provide a basis for informing efficient drug development, regulatory decisions, and optimal treatment of patients.

Purpose:

• We are building comprehensive Model-Informed Drug Development (MIDD) capabilities in-house to create reusable platform models across our oncology portfolio. We seek a talented and motivated expert to develop advanced Quantitative Systems Pharmacology (QSP) models in oncology that enable Virtual Population simulations. You will act as a MIDD expert for oncology and integrate this knowledge into Clinical Pharmacology strategy for related development programs.

This means:

• Develop QSP platform models for multiple oncology mechanisms including:
• Immune checkpoint inhibitors (IO/ICI) across colorectal, lung, and ovarian cancers
• Antibody-drug conjugates across lung, ovarian, and colorectal cancers
• T-cell engagers and bispecifics/trispecifics in multiple myeloma
• CAR-T therapies in hematologic malignancies
• Create and optimize Virtual Populations to capture patient heterogeneity and support clinical trial design
• Implement new methods to enhance QSP-driven MIDD, including AI/machine learning augmentation for literature screening, model drafting, and virtual population optimization
• Deliver practical results that inform dose and regimen selection, optimal combinations, therapy duration, and study design for active development programs
• Work as part of a coordinated team under the oversight of a senior pharmacometrician within the PMx Oncology Group

Description

The Scientific Computing & Data group at the Icahn School of Medicine at Mount Sinai (ISMMS) accelerates scientific discovery by supporting a high-performance computing and research data ecosystem. This includes a data commons and two clinical research data warehouses: one for ISMMS and one for the Kidney Precision Medicine Project (KPMP), a multi-institutional research consortium ( ) funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Both warehouses use Microsoft SQL Server and the OMOP Common Data Model.

The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading development, maintenance, and operations of these research data warehouses. The role collaborates with warehouse team members and research stakeholders to expand functionality and integrate new data sources. Data transformations are built in Transact-SQL stored procedures, with SSIS used for orchestration.

Responsibilities

• Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager.
• Design, build, test, and maintain ETL/ELT processes using T-SQL stored procedures, SSIS, and SQL Agent; apply metadata-driven design for extensibility.
• Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management.
• Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance.
• Mentor junior engineers in data warehousing, data engineering skills, and operational support.
• Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON).
• Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation.
• Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs.
• Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support.
• Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching.
• Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach.
• Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations.
• Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost.
• Identify improvements in procedures, technology, compliance, and data privacy/security.
• Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring.
• Perform related duties as assigned.

Qualifications

• Bachelor’s degree in a technical field; Master’s preferred.
• 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses.

Preferred

• Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development.
• Expert-level experience with Microsoft SQL Server technologies: T-SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, Linked Servers, SSIS, Visual Studio, SSDT, and SQL Agent.
• Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git.
• Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff.
• Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment.
• Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet).
• Preferred experience with Azure Synapse, Azure Data Factory, Oracle PL/SQL, PostgreSQL PL/pgSQL.
• Experience with SQL Server administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations.
• Preferred experience with scripting in Windows & Linux (PowerShell, Python, or similar); HL7; web services/REST APIs; reporting tools like SSRS, Power BI, Tableau.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Ready to shape the future of work?

At Genpact, we do not just adapt to change—we drive it. AI and digital innovation are redefining industries, and we are leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that is shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implementdata, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Senior Manager, Commercial/ Payer Analytics with Market access experience

We are seeking seasoned Senior Manager Experience in pharmaceutical and life sciences analytics, with proven expertise in Anonymous Patient-Level Data (APLD),Xponent, Plantrak & formulary access data. This leadership role demands a balance of strategic vision, deep technical acumen, and cross-functional influence. The ideal candidate will drive advanced analytics initiatives that support marketing and commercial excellence strategies, while leading global delivery teams and shaping stakeholder alignment across business units.

Responsibilities

• Lead strategic analytics initiatives across pharmaceutical, Value & Access, and healthcare payer/provider domains.
• Apply machine learning techniques to structured and unstructured data to enhance patient stratification, drive Sales and health outcomes.
• Develop analytical and statistical solutions to improve efficiency and drive innovations using Generative AI.
• Lead the development of U.S. market access strategies across therapeutic areas including formulary positioning, pricing, and reimbursement.
• Partner with global teams to align value messaging with regional payer and RAE/KAM expectations.
• Conduct and interpret advanced analytics to support decision-making on promotional strategies and effectiveness (e.g., ROI, A/B testing, campaign performance).
• Lead the Health System engagement by generating valuable insights for RAE/KAM teams.
• Able to handle complex statistical analysis to measure the effectiveness of certain campaigns and help in monitoring VCOs/KAM/NAD/NAM performance.
• Data Analysis: Leverage data analytics tools to analyze market trends, track sales performance, and provide actionable insights to sales teams.
• Design and execute test-control methodologies and statistical procedures to evaluate marketing campaign success.
• Lead predictive analytics projects including segmentation, profiling, and targeting strategies.
• Functionally and directionally lead an offshore analytics team while maintaining individual contributor responsibilities.
• Act as a strategic consultant to stakeholders, translating business needs into analytical solutions and actionable insights.
• Collaborate with data engineering and source data teams to address data quality and timing issues.

Qualifications we seek in you!

• Bachelors in Pharma/Technology/BE.
• Experience in U.S. healthcare analytics, including pharmaceuticals, biotech, or payer/provider systems.
• Machine learning and statistical modeling knowledge (e.g., XGBoost, Random Forest, NLP, deep learning).
• Knowledge on GenAI.
• Proficient in Python, SQL.
• Strong knowledge of U.S. healthcare datasets: Medicare/Medicaid, commercial claims, EMR systems, Sales & Commercial data sets in healthcare etc.
• Solid grasp of healthcare economics, policy frameworks, and regulatory constraints.

Preferred Qualifications/ Skills

• Knowledge of Spark, and data visualization tools (Power BI, Tableau) and R is preferred.
• M.Sc./M.Tech./M.Pharm
• Excellent MS Office Skills.
• Strong analytical, problem-solving skills, and technical aptitude.
• Expert verbal and written communication skills.
• High degree of energy & execution and client connect experience is a “Must”.
• Ability to work in a global environment.
• Proven work experience as a team leader or supervisor.
• Good analytical and problem-solving skills.
• Good accounting concepts.
• Good interpersonal skills.

Why join Genpact?

• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation.
• Make an impact – Drive change for global enterprises and solve business challenges that matter.
• Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities.
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day.
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress.

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.

Let us build tomorrow together.

The approximate annual base compensation range for this position is $150,000 to $160,000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity.

Location-based Roles Danbury, CT area candidates are eligible for this role only.”

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Salary Range: 72-114k

Vaxess is developing a pipeline of next-generation therapeutics on our novel micro-array patch platform. With only five minutes of wear-time on the skin, the Vaxess’ patch combines room temperature stability with simplified application to dramatically alter the way that drugs are delivered. Vaxess is committed to enabling products that are not only more effective, but also more accessible to patients around the world.

The Electrical Control Engineer designs, develops, programs, and maintains automated control systems used in industrial, manufacturing, or infrastructure environments. The role focuses on improving system efficiency, reliability, and safety through PLCs, machine vision, HMIs, robotics, and industrial networks.

Responsibilities:

• This is a hands-on position involving designing, building, and troubleshooting automated equipment.
• Design and maintain novel automated systems and solutions that contribute to current manufacturing and scale up of manufacturing operations to eventual commercialization.
• Project management of electrical and controls projects.
• Design control schemes, circuits, power distribution, high/low voltage, electrical panels, and layouts. 
• Document electrical schematics and BOMs and contribute to assembly and installation of systems.
• Develop and optimize machine vision inspection equipment, lighting, optics, and code.
• Troubleshoot electrical and control issues to contribute to root cause analysis and develop timely solutions for production problems that might arise.
• Contribute to continuous improvement to increase safety, quality, and efficiency of manufacturing.
• Draft maintenance SOPs and contribute to implementation and maintenance of the Quality System.
• Draft equipment requirements and work closely with external vendors to develop plans and evaluate proposals, and manage external projects.
• Collaborate closely with cross-functional teams to support product development and manufacturing activities.

Qualifications:

• BS or MS in Electrical Engineering or a related discipline.
• 3-5 years of high volume medical device or pharmaceuticals manufacturing or related experience.
• CAD (SolidWorks or similar) for electrical schematics and drawings
• Familiarity or experience working with machine vision (OpenCV, Cognex Pro, or similar), motion control and PLC & HMI platforms (Rockwell/Allen-Bradley or similar), general programming (Studio 5000, Python, C++, or similar)
• Excellent time and project management skills and proven ability to meet goals and deadlines.
• Demonstrated abilities to learn new skills and fields, creatively solve challenging technical problems, think independently, and work collaboratively in diverse multidisciplinary teams.
• Entrepreneurial spirit and drive to positively impact global human health.

At Vaxess, we’re bringing together exceptional talent to drive our product development forward. We value

collaboration, curiosity, and a dynamic work environment. To apply, please submit your CV/resume to