Research Scientist

• Set technical direction for core replenishment R&amp;D.
• Model complex problems such as inventory decay, promotions, price elasticity, and inventory uncertainty.
• Drive fundamental changes to our core system from research through production.
• Lead research and development for new product and business challenges.
• Mentor scientists and engineers, set standards for experimental rigor.

Staff Applied Scientist

• Lead a team in the development and execution of health economic and modeling strategies to support the value of the Company’s oncology portfolio
• Provide leadership, mentorship, and strategic direction to a team of 3–4 health economists
• Oversee the prioritization and development of high-quality global health economic models and tools to support market access, pricing, reimbursement, HTA submissions, and formulary decision-making across U.S. and international markets
• Collaborate with key countries and the regional team to adapt global models for local HTA, reimbursement, and formulary submissions
• Generate and communicate early health economic insights to inform development and commercialization strategies
• Build strong partnerships with internal stakeholders to ensure modeling strategies align and support the overall product development and value evidence strategy and implementation
• Develop and maintain relationships with external thought leaders in health economics, decision sciences, and health policy to enhance scientific credibility, inform strategy, and position our company as a leader in the field

Senior Principal Scientist, Outcomes Research

• Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
• Build services for reading, processing, and writing 2D/3D engineering data.
• Develop rendering modules for generating 2D/3D visual assets.
• Curate and manage large-scale datasets for learning-based systems.
• Implement and optimize post-training workflows for machine learning models.
• Contribute to the development of domain-specific languages for engineering tasks.

Research Scientist – Geometry, Machine Learning

• Independently build, align, and execute technical plans to achieve objectives across multiple programs
• Timely delivery of hands-on data analysis, visualization, and interpretation for Discovery portfolio decision-making
• Substantially impact Discovery programs through direct technical execution and indirect contribution as a member of Discovery project teams
• Collaborate with cross-functional teams to drive computational insights for Discovery programs

Principal Scientist, Computational-Immunology Discovery

• Leading the development, optimization, and validation of spatial genomics and molecular profiling assays to support neuroscience, oncology, and immunology programs.
• Designing and executing experimental workflows involving tissue processing, immunohistochemistry, in situ hybridization, microscopy, high‑resolution slide imaging and sequencing.
• Establishing and refining new molecular assays, including troubleshooting, workflow development, and technical feasibility assessments.
• Building and scaling laboratory infrastructure, including lab setup, instrumentation planning, and operational readiness.
• Managing CROs and external partners, ensuring high‑quality data generation, timeline alignment, and technical deliverables.
• Collaborating closely with therapeutic area teams to translate multiomics and spatial readouts into actionable biological insights.
• Contributing to data workflows by supporting early-stage data mapping, QC frameworks, and analytical handoffs to computational teams.

Principal Scientist, Spatial Omics

• Designs and implements program-specific late development biomarker/translational plans, responsible for aiding in creation of clinical protocols, SAPs, SOWs, lab manual, and interfacing with CRO for execution of services, in conjunction with Biospecimen Operations and Procurement.
• Determines appropriate assays and vendors for clinical biomarkers, and manages outsourcing of biomarker assay development and validation partnering with Translational Sciences colleagues when applicable
• Manages clinical biomarker data delivery and analysis and associated timelines by working with relevant internal functions and CROs
• Prepares and delivers internal and external translational/biomarker presentations
• Maintains timelines for biomarker data related publication through interaction with Medical Communications and Publication team as needed
• Keeps up-to-date on relevant scientific/technical literature in order to applying external knowledge to internal research programs as appropriate and acts as a subject-matter expert within the team to critically evaluate the literature regarding the asset and disease biology
• Works with TM laboratory scientists and academic TLs to address nonclinical translational questions
• Participates in post-hoc biomarker analysis and publication efforts
• Supports regulatory submissions and regulatory interactions as needed

Senior Principal Scientist, Neuroscience, Clinical Biomarker, Late Phases, Translational Medicine

• Characterize biologic therapeutics using standard analytical extended techniques to explore relationships between structure and function.
• Oversee development of standard protein analysis methods through external vendors and guide transfer analytical methods to separate analytical and QC testing facilities.
• Develop analytical techniques to measure product and process impurities.
• Strengthen relationships with external CDMO partners to establish and manage appropriate scopes of work, and to ensure all activities are within program expectations.
• Provide oversight into external testing facilities for non-GMP and GMP testing.
• Lead method performance investigations, troubleshooting, and laboratory investigations.
• Working and up-to-date knowledge of ICH guidelines and other regulatory guidance.
• Author, review and edit SOPs, protocols, reports, and quality related documentation for internal and external stakeholders.
• Provide authorship and review for regulatory documents for multiple countries.
• Collaborate cross-functionally across multi-disciplinary teams including Analytical Development, Process Development, Drug Product Development, Regulatory, Quality Assurance, Supply Chain, and others.

Principal Scientist – Analytical Development, Clinical Quality Control

• Provide strategic and scientific leadership in the design, execution, analysis, and communication of clinical biomarker strategies across immune-mediated therapeutic portfolio
• Drive decision-centric biomarker strategies that connect drug mechanism, disease biology, precision medicine
• Lead and shape integrated biomarker strategies across discovery, early- and late-stage clinical programs
• Serve as the biomarker strategy lead within cross-functional program teams
• Inform portfolio strategy by advancing biomarker-driven insights
• Translate disease biology into clinically actionable biomarker strategies
• Drive selection and application of innovative biomarker approaches
• Collaborate effectively across disciplines to integrate scientific perspectives into cohesive strategies
• Champion biomarker analysis plans and provide critical scientific input to interpretation of complex datasets

Senior Principal Scientist, Translational Clinical Biomarkers

• Develop and scale antibody design capabilities from prototype to application : Advance agentic antibody design approaches into robust, reusable workflows that support preclinical discovery efforts.
• Build and apply state-of-the-art models for biologics design : Develop methods for protein structure modeling, binder design, affinity/specificity prediction, and developability property prediction using internal and external datasets.
• Deliver reliable, production-ready research tools : Own end-to-end development of computational pipelines, with strong emphasis on reproducibility, benchmarking, and maintainable, well-documented code.
• Lead through influence : Partner with computational and wet-lab teams to prioritize capabilities, translate insights into actionable decisions, and communicate clearly to technical and non-technical audiences.

Principal Scientist, Computational Sciences – Protein Structure Prediction and Design

• Abides by institutional policies of BIDMC
• Actively pursues research under supervision
• Receives training in investigational work
• Publishes scientific manuscripts under direction of PI
• Develops new ideas to promote current research

Postdoctoral Research Fellow

• Develop and apply state‑of‑the‑art AI/ML, statistical, and computational frameworks to analyze genomics, transcriptomics, proteomics, metabolomics, single‑cell, and multi‑omics datasets.
• Lead the design and execution of spatial omics analyses at massive scale, integrating imaging‑based, sequencing‑based, and multiplexed spatial platforms to uncover tissue architecture, cellular neighborhoods, and microenvironmental dynamics.
• Build scalable pipelines to preprocess, QC, harmonize, and integrate terabyte‑ to petabyte‑scale spatial omics datasets, enabling discovery‑ready data layers and advanced modeling.
• Deploy, adapt and develop agent‑based models (ABM) to simulate cellular interactions, tissue‑level organization, and dynamic biological processes, incorporating outputs from multimodal omics and spatial measurements.
• Fuse mechanistic models with ML/AI frameworks to generate hybrid predictive systems for target discovery, perturbation response, and disease progression modeling.
• Deploy and create novel ML architectures, including deep learning, generative models, graph neural networks, and causal inference frameworks that are tailored for biological complexity.
• Design and implement scalable algorithms for high‑dimensional, multimodal integration of spatial, molecular, and phenotypic data.
• Prototype and benchmark cutting‑edge computational approaches, pushing the frontier of in silico biological inference.
• Map, influence, and guide the development of computational and data architecture needed to support next‑generation omics and ML workloads.
• Partner with data engineering and platform teams to define standards for data ingestion, modeling workflows, metadata management, and reproducible research ecosystems.
• Ensure infrastructure supports large‑scale distributed training, complex spatial analytics, cloud‑native computation, and long‑term model governance.
• Act as a senior scientific authority, shaping strategy and guiding decision‑making across discovery and platform innovation, without direct people management.
• Provide high‑level technical mentorship, scientific critique, and modeling guidance to colleagues and collaborators.
• Drive cross‑disciplinary project teams by defining computational strategy, interpreting results, and ensuring scientific rigor.
• Deliver insights that advance target identification, mechanism‑of‑action exploration, pathway modeling, biomarker discovery, and patient stratification.
• Translate computational discoveries into actionable biological hypotheses, experimental designs, and portfolio‑impacting recommendations.
• Communicate findings effectively to scientific and strategic stakeholders.

Senior Principal Scientist, Spatial Omics

• The Principal Scientist is a highly experienced subject matter expert responsible for leading method optimization, transfer, and validation in support of Cell Therapy analytical portfolio.
• Conceptualize and lead complex projects, provides strategic scientific and technical input to the programs and projects.
• Apply technical knowledge, regulatory requirements, and scientific principles to independently perform complex troubleshooting and problem solving.
• Balance deep hands-on laboratory involvement with cross-functional leadership, mentoring, and external scientific engagement.
• Represent the department in product review boards, regulatory inspections (internal and external audits).
• Own and author relevant analytical sections of regulatory submission and responses to health authority questions and requests.

Principal Scientist, Analytical Science and Technology, Cell Therapy

• Scientific lead on the project and be the client's main source of contact.
• Perform all aspects of modeling and simulation to support drug development and clinical trials.
• Provide consultation and technical guidance for clients.
• Prepare reports and presentations for internal and external dissemination.
• Works collaboratively within assigned agile project team(s) to accomplish team goals.
• Participate in MetrumRG training courses as a teacher or aid.
• Present and publish scientific findings.
• Provide mentoring to scientific staff.
• Serve a leadership role in advancing the goals of the company.
• Project scoping and proposal preparation.
• Generate new business leads.

Principal Scientist, PKPD

• Provide strategic leadership for CDx development and commercialization
• Oversee execution of strategies in collaboration with cross-functional teams
• Develop and direct CDx/IVD strategic approaches
• Lead cross-functional CDx Teams for various assets/biomarkers
• Partner with internal stakeholders to develop CDx strategies
• Drive CDx partner/platform assessment and selection
• Serve as a subject matter expert within the company
• Participate in meetings with global regulatory agencies to provide CDx expertise
• Oversee transfer of assays from in-house efforts to Dx companies
• Evaluate relevant new technologies

Senior Principal Scientist – Senior Director, Companion Diagnostics

• Recruitment of subjects (on-site and remote)
• Tracking upcoming patient appointments and follow-up study visits
• Assist with participant consenting on-site at Boston Medical Center
• Escorting subjects to phlebotomy
• Maintenance of subject data

Research Assistant, Infectious Diseases

• Build and improve applied ML systems
• Develop, evaluate, and improve models that help identify customer readiness
• Use behavioral, conversational, operational, and CRM data to analyze performance and improve model quality
• Define offline and online evaluation approaches, select metrics tied to business outcomes
• Independently explore new models and enhancements to existing models
• Work closely with product managers, engineers, and other scientists to refine problem statements

Applied Scientist

• Lead process transformation across Analytical Sciences production labs, Foundational Chemistry labs, R&D environments, and Manufacturing Quality Services labs
• Map current-state capabilities while operating in parallel with business-as-usual (BAU) activities
• Identify gaps, redundancies, and inefficiencies across laboratory operations and service delivery models
• Evaluate workflows across multiple sites, teams, and laboratory functions
• Develop and implement skills matrices to assess workforce capabilities and identify proficiency gaps
• Align resources, roles, and processes to optimize efficiency and scalability across the network
• Define and analyze key performance metrics, including samples processed per role, non-conformance/error rates, and time per sample
• Leverage data-driven insights to drive process optimization and continuous improvement
• Implement scalable solutions that enhance throughput, data quality, compliance, and overall operational performance
• Design and implement systems and tools to capture, track, and report key laboratory performance metrics
• Establish standardized methods for data collection, ensuring accuracy, consistency, and traceability
• Enable real-time or near-real-time visibility into operational performance to support decision-making and continuous improvement.

Principal R&D Scientist

• Perform computational research and integrative analyses on multimodal biological profiling datasets (e.g. transcriptomic, proteomics, single cell omics, spatial profiling) to support early pipeline programs
• Apply machine learning, and other advanced computational/ statistical approaches, to compare high-dimensional experimental readouts from perturbation experiments/screens (e.g. CRISPR screens, perturb-seq, cellular imaging) to disease states defined by patient data and work as part of a cross-functional team to nominate and validate new targets for Neuro, Cardiovascular and autoimmune diseases indications
• Work with external partners in industry, academia, and pre-competitive collaborations (e.g. NIH Accelerating Medicines Partnership) on novel computational and experimental approaches
• Communicate findings and recommend follow-up actions in multiple settings (including 1:1, seminars, and team meetings)

Principal Scientist, Computational Biology

• Lead platform demonstrations for industry scientists in drug discovery for all levels and line functions as well as investors showcasing the capabilities of Drug Hunter as a drug discovery intelligence platform
• Educate Drug Hunter members on best practices and use cases for day-to-day implementation of Drug Hunter through onboarding and workshops to accelerate time-to-value and foster continuous engagement with the platform
• Design and deliver scientific presentations based on Drug Hunter content and industry knowledge
• Contribute to the production of video and audio content for educational and marketing purposes
• Design and deliver presentations for the Drug Hunter Drug Discovery Course in collaboration with project lead
• Provide monthly data analysis articles based on Drug Hunter proprietary data
• Author, edit, and review weekly educational articles drawing on Drug Hunter platform insights, synthesizing latest trends, breakthroughs, and developments to keep Drug Hunter relevant and top-of-mind for the industry
• Host “How to Use Drug Hunter” Events as well as Flash Talks
• Edit and review educational resources, including cheat sheets and Flash Talk follow-up articles
• Represent and help organize Drug Hunter industry mixers, dinners, workshops, symposia, and other networking events
• Own the review process to promote Drug Hunter articles, events, and webinars.
• Scientifically review and edit sales enablement materials and collaborate within growth team to share appropriate materials with prospects and members
• Other duties as required

See all jobs on JobTailor

Staff Applied Scientist

Senior Principal Scientist, Outcomes Research

Research Scientist – Geometry, Machine Learning

Principal Scientist, Computational-Immunology Discovery

Principal Scientist, Computational-Immunology Discovery

Principal Scientist, Spatial Omics

Senior Principal Scientist, Neuroscience, Clinical Biomarker, Late Phases, Translational Medicine

Principal Scientist – Analytical Development, Clinical Quality Control

Senior Principal Scientist, Translational Clinical Biomarkers

Principal Scientist, Computational Sciences – Protein Structure Prediction and Design

Postdoctoral Research Fellow

Senior Principal Scientist, Spatial Omics

Principal Scientist, Analytical Science and Technology, Cell Therapy

Principal Scientist, PKPD

Senior Principal Scientist – Senior Director, Companion Diagnostics

Research Assistant, Infectious Diseases

Applied Scientist

Principal R&D Scientist

Principal Scientist, Computational Biology

Senior Industry Research Scientist – Industry Research and Relations