Research scientist jobs in Taunton, MA

Machine Learning Scientist - LLM Systems for Scientific Discovery About the Team Join the internal AI initiative of a prominent venture studio that has launched 100+ life sciences companies (including Moderna). You'll be part of a ~20-person technical team in Cambridge building advanced LLM and ML systems that accelerate scientific breakthroughs and help launch new AI-first ventures. What Will I Be Doing: Research & prototype novel LLM workflows (agents, reasoning systems, tool-use frameworks) tailored to scientific applications Define success metrics and design custom benchmarks to evaluate AI systems across diverse scientific domains Collaborate with ML engineers to scale promising prototypes into production systems Stay at the frontier by synthesizing state-of-the-art research and validating findings through rigorous experimentation Build feedback loops that incorporate user testing into system development What We're Looking For: PhD in machine learning, computer science, statistics, physics, mathematics, or related quantitative field Research excellence in LLMs or adjacent areas (reasoning/agents, sequence modeling, representation learning, optimization) demonstrated through publications at top venues or impactful work Hands-on ML experience with PyTorch or JAX, including reproducible experiment workflows Strong Python skills and fluency with standard ML tools Ability to work independently while collaborating effectively in a small team Experience building LLM systems: agentic frameworks, RAG, multi-agent simulations, RLHF/DPO, or evaluation methodologies Domain knowledge in chemistry, biology, physics, materials science, or related fields What's in it for me: Competitive Compensation: $140k-$240k dependent on experience Work on originating and fostering breakthrough ventures transforming human health and sustainability Relocation assistance available (typically $10k sign-on bonus) Apply now for immediate consideration!

QUALIFICATIONS: • Bachelor's Degree within subject matter expertise required. • 18+ years' relevant experience required, or a master's degree with 12+ years' relevant experience, or a Doctoral degree with 6+ years' post-doctoral and/or industry-relevant experience can be considered. • Relevant required experience includes: Excellent understanding of ADME principles with knowledge of PK/PD modeling or biotransformation, highly desirable • Preferred experience includes: Prior experience working in a fully or hybrid ADME-outsourced models • Demonstrates excellent verbal and written communication skills. TOP SKILLS PER MGR: 1. Project-facing role (3+ years) 2. ADME or PKPD subject matter expert ESSENTIAL FUNCTIONS: • Function as DMPK project representative for global, cross-functional small molecule project teams to achieve project goals • Provide expert-level guidance to experimental plans and data interpretation with a strong expertise in either ADME/PK/DDI or PK/PD modeling and simulation • Troubleshoot highly complex tasks through independent and team-based efforts • Demonstrate deep subject matter expertise and in-depth experience, as well as creative, independent thinking and solutions for addressing critical scientific questions • Make independent decisions related to day-to-day experimental activities • Work closely with CROs to assume responsibility for DMPK experimental design, implementation, and interpretation • Analyze complex data with a high degree of sophistication, connect disparate datasets to reach conclusions, and communicate project updates and experimental results to relevant stakeholders • Ensure proper documentation of all experiments and data • Collaborative teamwork • Communicate regularly with international colleagues within the Client • Actively participate in cross-functional teams and meetings to drive project success • Achieve business goals, share learnings, knowledge, and skills & promote cross-functional teamwork • Share knowledge & expertise to expand team capabilities and goals • Demonstrate superior cross-cultural understanding to effectively interact with relevant stakeholders in the global organization • Write and review collaborative research manuscripts, project documents, and milestone documents • Complete assignments requiring expert-level knowledge of techniques and practices related to the research area • Represent the organization as NN-subject matter expert by attending and presenting at scientific conferences and global meetings

Job Title: Principal Research Scientist VI Pay rate: $120-140/hr on w2 Duration: 12 Months (possible opportunity to convert to perm after contract term) About the Role We are seeking an experienced DMPK Project Representative to provide scientific leadership in the discovery and optimization of small-molecule drug candidates. This role leads DMPK strategy across multiple therapeutic areas and collaborates closely with cross-functional scientific teams. The ideal candidate is an ADME or PK/PD subject matter expert with a strong project-facing background and a track record of impactful scientific contributions. Top Skills 3+ years in a project-facing scientific leadership role Expertise in ADME and/or PK/PD modeling Strong publication/abstract history in metabolism, drug interactions, or PK/PD modeling Key Responsibilities Serve as the DMPK representative on global, cross-functional small-molecule project teams Provide expert guidance on experimental strategy, data interpretation, and DMPK strategy Lead internal and external research efforts supporting drug discovery Work closely with pharmacology, medicinal chemistry, and CRO teams Design, troubleshoot, and interpret complex DMPK experiments (in vitro, in vivo, in silico) Analyze sophisticated datasets and communicate findings to project stakeholders Ensure accurate documentation and contribute to scientific reports, manuscripts, and milestone documents Build collaborations with external scientific partners Represent the organization as a subject matter expert at scientific conferences Qualifications Bachelor's degree with 18+ years experience, OR Master's degree with 12+ years, OR Doctoral degree with 6+ years relevant post-doc/industry experience Deep understanding of ADME principles; PK/PD modeling or biotransformation experience preferred Experience working with outsourced or hybrid ADME models is a plus Strong communication skills-verbal, written, and cross-functional Ideal Candidate You thrive in a scientifically complex, highly collaborative environment and enjoy integrating DMPK strategy to advance drug discovery programs. You're comfortable leading projects, influencing cross-functional teams, and representing DMPK expertise internally and externally.

+++ SiPhox Health is redefining clinical immunoassay diagnostics by miniaturizing the analytical power of a central lab into an accessible, affordable, at-home platform. Our silicon-photonics architecture unites advanced biochemistry, microfluidics, and semiconductor-grade manufacturing to deliver precise, multiplexed biomarker quantification in minutes on a device the size of a coffee maker. We are building what we believe will become the first mass-market photonic blood analyzer, enabling continuous improvement in chronic disease management through frequent, high-quality testing. +++ The Opportunity +++ We are looking for a Senior Assay Development Scientist or Engineer who wants to build assays that have never been built on this kind of platform before. If you thrive on developing rigorous, quantitative immunoassays, including challenging free/competitive assays, and want your work to directly ship in a consumer device used by millions, this is one of the rarest opportunities in diagnostics today. This role sits at the center of platform innovation, contributing directly to analytical chemistry, surface chemistry, microfluidics, and silicon photonics integration. You will shape a growing assay menu that spans hormones, inflammatory markers, metabolic proteins, and future pediatric/specialty panels. +++ What You'll Do +++ Core Assay Development Develop quantitative sandwich and competitive immunoassays (including free hormone assays, displacement-driven formats, and low-abundance biomarkers) on a silicon-photonic resonance platform. Design, execute, and interpret experiments focused on: Binding kinetics & equilibrium optimization Surface functionalization strategies Competitive assay dynamic-range shaping Calibrator and control development (matrix selection, commutability) Assay precision, stability, robustness Analytical Performance & Validation Own assay verification and validation aligned with CLSI standards (EP05, EP06, EP07, EP09, EP10, EP17). Establish and demonstrate performance for: Analytical sensitivity & functional limit (LoB/LoD/LoQ) Linearity & reportable range (including hook effects, competitive assay inflection characterization) Repeatability, reproducibility, and nested CV analysis Interference and cross-reactivity studies Matrix equivalency & recovery studies Build calibration models for a novel platform (e.g., 4PL/5PL, competitive curve inversion, chip-specific normalization frameworks). Cross-Functional Integration Collaborate deeply with photonics, microfluidics, reader electronics, manufacturing, and product engineering teams to close the loop on real-world assay performance. Work with process development and chemistry groups to scale assays from prototype to production, enabling high-volume, chip-based manufacturing. Documentation & Execution Deliver high-clarity technical reports, protocols, V&V documentation, and design-history file content that meets IVD and FDA expectations. Present results across the company to inform design decisions and product milestones. +++ What We're Looking For +++ Technical Background PhD + 2 years, or MS + 6 years in biochemistry, chemical engineering, analytical chemistry, biophysics, bioengineering, or related fields. Expertise in immunoassay development (sandwich and competitive). Experience with free hormone assays is a major plus. Demonstrated ability to independently solve complex analytical and biochemical problems. Hands-on experience with complex analytical workflows, assay automation, and instrumentation. Strong understanding of calibration design, commutability, and control strategies. Familiarity with statistical analysis of assay performance, including mixed-model ANOVA, CV decomposition, and method-comparison frameworks. Regulatory & Platform Experience (Bonus) Experience with IVD development, ISO 13485, or 21 CFR 820. Experience with POC or novel-platform assay development. Knowledge of label-free sensors, waveguides, or photonic resonance systems. Experience with Python, R, or MATLAB for data analysis, curve fitting, and automation. Personal Traits Strong scientific intuition paired with rigorous data discipline. Thrives in a fast-paced, milestone-driven startup environment. Creative problem solver willing to challenge established assay paradigms. High integrity, willingness to own outcomes, and a collaborative mindset. +++ Why This Role Is Unique +++ Most assay developers spend their careers optimizing assays on platforms that already exist. At SiPhox, you will: Build the first generation of photonic immunoassays deployed in consumer health. Design assays whose constraints are shaped by semiconductor physics as much as biochemistry. Work on hard problems (free hormone assays, multiplexing, competitive equilibrium, small-volume matrices) where innovation, not incrementalism, wins. See your work ship in a product used at home by real people, not just research labs. If you want to work at the frontier of diagnostics (where photonics, biochemistry, and consumer health converge) we'd love to meet you.

The Vlachos Lab and the Spatial Technologies Unit (************************** are currently looking for talented postdoctoral researchers to lead large-scale spatial/single cell initiatives within our research program as well as to devise novel AI/ML and computational biology methods that will enable us to bring these two novel technologies closer to translation. The researcher will have the ability to leverage some of the most extensive single cell and spatial transcriptomic datasets to date, generated in-house. Available projects revolve around cancer immunology, novel immunotherapies (CAR-T, bi-specifics, mRNA cancer vaccines), and autoimmunity research. We generate extensive data and employ, develop, utilize cutting-edge artificial intelligence and machine learning (AI/ML) to generate next-generation insights for novel targets or patient stratification. The Vlachos lab is also part of large scale initiatives, such as the Human Biomolecular Atlas Project (HuBMAP - ************************** enabling the postdoctoral researcher become an integral part of the single cell and spatial community. Local and International Applicants are encouraged to apply The Postdoc Single Cell and Spatial Technologies Bioinformatician will have the chance to be incorporated in cutting-edge research conducted in the Vlachos Lab, the Spatial Technologies Unit (**************************, in Beth Israel Deaconess Medical Center, Harvard Medical School, and the Broad Institute of MIT and Harvard. The position aims for candidates with a strong quantitative and computational background with extensive experience in genomics/transcriptomics (analysis of different bulk/single cell/spatial Next Generation sequencing Techniques as well as development of novel methods). A strong background in machine learning applications is considered a plus. Our location within the CRI, the first Institute for RNA Medicine in Boston, Harvard Medical School, and the Broad Institute of MIT and Harvard, creates a unique environment for avant-garde research and scientific growth. The researcher will receive training on research, grant writing, career development, and mentoring. She/he will have the opportunity to lead impactful projects and collaborate directly with an extensive network of leading researchers and companies in the US and internationally. Successful applicants will receive a competitive remuneration and benefits package. Essential Skills · Extensive experience in handling and analyzing Next Generation Sequencing data · PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics) · Strong quantitative background (e.g. BSc in Computer Science, Applied Math, Engineering, Biostatistics) · Experience in bioinformatics/data analysis using R/Bioconductor · Experience in linux-based environments and high-performance computing · Proven experience in AI/ML solutions · Great programming skills · Effective science communication Ideal Skills · Single cell and/or spatial -omics data analysis experience · Strong publishing record · Theoretical and practical AI/ML background · Lead and coordinate extensive projects For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions. We are an equal Opportunity Employer and we welcome applications from women, persons with disabilities, protected veterans, and members of minority groups. International applicants are welcome to apply.'

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Join a world-class research team dedicated to reducing the impact of natural hazards and climate risks. FM is a market leader in commercial and industrial property insurance and loss prevention, serving over one-third of FORTUNE 1000 companies with engineering-based risk management and property insurance solutions. FM helps clients maintain business continuity through state-of-the-art engineering and research. The Structures and Geohazards Research Group at FM is seeking a creative and self-motivated Senior Research Scientist with a strong foundation in wind engineering and a specialized focus on computational wind engineering (CWE). The ideal candidate will possess deep expertise in fluid dynamics, high-performance computing, and wind tunnel testing, along with a demonstrated ability to conduct innovative, high-impact research. This role is integral to a strategic research initiative aimed at advancing the understanding of wind-related hazards and developing effective mitigation strategies. The successful candidate will contribute to cutting-edge projects that blend computational modeling with experimental validation to address real-world challenges in wind engineering. Responsibilities: Develop computational fluid dynamics (CFD) models to simulate wind flow around buildings and infrastructure, capturing complex aerodynamic interactions. Analyze wind loading on structures using high-resolution simulations; validate results with wind tunnel experiments or field measurements. Collaborate with interdisciplinary teams to incorporate wind effects into risk models, design standards, and resilience strategies. Publish and present research in peer-reviewed journals and at scientific or industry conferences. Contribute to strategic planning and innovation in wind engineering research initiatives. PhD degree. Mechanical, Civil, Aerospace Engineering or related fields. Hands-on experience with CFD software, both open-source (e.g., OpenFOAM) and commercial (e.g., ANSYS Fluent). Proficient in programming languages such as C++, Python, R, MATLAB. Skilled in high-performance computing (HPC) and parallel computing environments. Experience with wind tunnel testing or field measurements is highly desirable. Familiarity with relevant building codes and standards is a plus. Proven track record of publishing high-quality research and effectively communicating complex technical concepts to diverse audiences.Strong problem-solving abilities, creativity, and the capacity to work independently as well as collaboratively. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Responsibilities: Conducting proprietary research evaluating biotech companies' therapeutic pipeline by analyzing scientific literature, attending medical conferences, and consulting industry experts Writing research reports for initiations of coverage, analysis of data, deep dive in disease/ technology/ IP/ regulation/ policy, and industry/ company news Building and maintaining financial models Conceiving and executing on differentiated project ideas Interfacing with company management teams, internal sales and trading personnel, and institutional investors Candidate should understand that the team is highly motivated to become top-ranked in the biotech equity research Qualifications: ~1+ years of biopharmaceutical investment research, consulting, or industry; prior experience in biopharmaceuticals equity research with full license is a plus Motivated to rise in the sell-side industry in the long-term Advanced degree (PhD/MD/ PharmD) in life sciences preferred, though not required; a strong academic track record is essential Proficiency in written/verbal communication Experience building financial models using excel a required on-the-job skill; prior experience is a plus Motivated, hard-working, attention to detail, team player Can type >120 words per minute Primary Location Full Time Salary Range of $100,000 - $120,000.

About Us: SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team (AI Research) is seeking an exceptional Machine Learning Scientist to spearhead the development of our Large Language Models (LLM) and advanced AI agents. This role is pivotal in enabling groundbreaking research in machine learning for scientific discovery, particularly in the realm of material science and battery technology. Harness internal expertise and collaborate with external research labs to advance scientific ML. Work will be incorporated directly into our groundbreaking Deep Space multi-agent system for battery technology discovery. This position can be remote. Essential Duties and Responsibilities: Research & Development Lead cutting-edge research in machine learning for scientific discovery, with a focus on (multimodal) Large Language Models and their application (including AI agents) in battery and material discovery. Conduct groundbreaking research on integrating domain-specific data (including literature and internal documents) into LLM training and inference. Investigate the mechanisms through which LLMs approach problem-solving, planning, and solution generation, particularly in the context of basic battery design questions. Model Optimization & Implementation Troubleshoot and optimize the training process of large language models, addressing complexities and challenges related to data quality, model architecture, and computational efficiency. Implement innovative solutions to enhance model performance and scalability. Collaborate closely with a multidisciplinary team to integrate findings into practical AI solutions that contribute to the discovery of new battery materials and the advancement of lithium battery technology. Collaboration & Communication Contribute to academic and industry discussions by publishing research findings in top-tier journals and presenting at conferences. Engage in machine learning research aimed at addressing battery design challenges and enhancing system ability to interpret data-driven science efficiently. The ability to communicate complex concepts clearly and effectively to both technical and non-technical team members. Education and/or Experience: MS or PhD in Computer Science, Statistics, Computational Neuroscience, Cognitive Science or a related field, or equivalent practical experience. Strong foundational knowledge and practical experience in Machine Learning, Deep Learning, and Large Language Models. Proficiency in programming languages relevant to machine learning, with a strong preference for Python. Experience with deep learning frameworks such as PyTorch or TensorFlow. Proficiency in utilizing causal graphs for AI research and application. A solid track record of innovative research, preferably with published work in relevant areas. Excellent problem-solving abilities and a passion for tackling complex technical challenges. Preferred Qualifications: Experience with AI applications in material science or battery technology. Familiarity with the latest trends and methodologies in AI research, including algorithms such as GRPO.

Job Title: Senior Scientist / Associate Principal Scientist, Chemical Engineering R&D FLSA Status: Exempt Salary: $100,000-$160,0000 Pharmaron is a global CRO helping pharma and biotech companies bring new therapies to life. With over 21,000 employees worldwide across 23 locations in the US, UK and China, we support drug discovery through to manufacturing with fully integrated, high-quality services. We're proud of the impact we make and just last year, we supported over 780 discovery projects, 1,000+ CMC programmes, and 1,000+ clinical trials across all phases. Our teams are involved in everything from small molecules to biologics and gene therapies, and we work with more than 3,000 global customers. To learn more, visit ****************** About the Role The Pharmaron Process Chemistry department is seeking highly motivated Chemical Engineers for an exciting role involving hands-on small-molecule process development and scale-up from laboratory to commercial manufacturing. Engineers in this position will design, plan, and implement both chemistry laboratory and in-silico experiments to support process and technology development for active pharmaceutical ingredients (APIs). This position will combine elements of chemistry, engineering, technology development, and data analysis to optimize manufacturing processes. Strong teamwork, innovation, creativity, and organizational skills are essential, along with clear and confident communication to address technical challenges. Effective collaboration across multidisciplinary teams in the US, UK, and China, is critical, and a strong commitment to safety, quality compliance, and technical leadership is expected throughout all activities. Key Responsibilities Perform hands-on small molecule process development and scale-up work. Use Design of Experiments (DoE) for process screening, optimization, and robustness studies. Define CPPs, PARs, NORs, and contribute to the development of scalable control strategies. Apply process analytical technology (PAT) and process modeling. Evaluate and model kinetics, mixing, mass/heat transfer, and reactor performance. Conduct independent research to achieve mechanistic understanding for rational process design. Design and optimize key unit operations including crystallization, filtration, drying, distillation, and extraction. Use process modeling tools to inform scale-up strategies. Translate lab-scale findings into actionable parameters for kilo lab and GMP manufacturing. Drive cycle time reduction and process intensification initiatives. Implement innovative technologies such as continuous flow chemistry and automation platforms. Support internal and external tech transfer activities, including scale-up studies, modeling, and verification experiments. Support development of complex transformations such as catalytic hydrogenation. Exhibit a mindset of safety and quality compliance. Collaborate cross-functionally within US, UK, and China-based teams. Required Experience & Skills Education Minimum Requirement: The position requires either a BS and/or MS in Chemical Engineering (or comparable) from an accredited college/university plus at least 5 years of relevant work experience in small-molecule chemical process development - OR - a PhD in Chemical Engineering (or comparable) from an accredited college/university with at least 2 years of relevant work experience post PhD defense. Experience performing lab-based research/process development in a chemical engineering-related area. Experience with organic chemical synthesis and wet chemistry. Experience with small molecule pharmaceutical drug substance development. Experience applying statistical experimental design (i.e. Design of Experiments) and/or process modeling. A high level of innovation, creativity, and self-initiative. Highly effective communication and collaboration skills. Good organizational, interpersonal, writing, and time management skills. Preferred Experience & Skills Experience with process scale-up and/or technology transfer, moving from laboratory to pilot plant or production scale. Familiarity with concepts and application of cGMP and GDP during pharmaceutical development and production. Demonstrated experience with chemical engineering-related technology development. Familiarity with kilo-scale laboratory equipment. Experience with process modeling (e.g., population balance modeling, distillation modeling). Knowledge with milling equipment (spiral jet mills, pin mills, co-mills, rotor-stator wet mills). Why Pharmaron? Collaborative Culture: Thrive in our inclusive and collaborative environment, where teamwork and innovation go hand in hand. Here, your voice matters, and your contributions make a real impact. "Employees Number One" and "Clients Centered" are the core cultural values at Pharmaron. Our culture, which sets Pharmaron apart from other organizations, has evolved from our deep commitment to our employees, partners and collaborators. Benefits: As part of our commitment to your well-being, we offer a comprehensive benefits package: Insurance including Medical, Dental & Vision with significant employer contributions Employer-funded Health Reimbursement Account Healthcare & Dependent Care Flexible Spending Accounts 100% Employer-paid Employee Life and AD&D Insurance, Short and Long Term Disability Insurance 401k plan with generous employer match Access to an Employee Assistance Program How to Apply: Ready to seize this incredible opportunity? Join us at Pharmaron and be part of a dynamic team driving innovation and excellence in biopharmaceutical research and development. Apply online today! Pharmaron is a premier service provider for the life sciences industry. Founded in 2004, Pharmaron has invested in its people and facilities and established a broad spectrum of research, development, and manufacturing service capabilities throughout the entire drug discovery, preclinical, and clinical development process across multiple therapeutic modalities, including small molecules, biologics, and CGT products. With over 21,000 employees and operations in the U.S., the U.K. and China. Pharmaron has an excellent track record in delivering R&D solutions to its partners in North America, Europe, Japan, and China. As an Equal Employment Opportunity and Affirmative Action employer, Pharmaron values diversity and inclusion in the workplace, fostering an environment where all individuals are empowered to succeed. Join us in our mission to make a difference in the world of life sciences.

General information Location Cambridge, MA Ref # 43395 Job Family Research Date published 12/09/2025 Time Type Full time Pay Range 100,000 - 140,000 Usd Annual Description & Requirements The Broad Institute of MIT and Harvard is the world's leading biomedical research institute dedicated to the bold mission of using the full power of genomics to transform the understanding and treatment of disease. We seek to describe all of the molecular components of life and their connections; discover the molecular basis of major human diseases; develop effective new approaches to diagnostics and therapeutics; and disseminate discoveries, tools, methods, and data openly to the entire scientific community. We are seeking a highly motivated and innovative scientist to lead collaborative initiatives in partnership with the Cancer Dependency Map and Cancer Cell Line Factory programs and the Sellers and Getz labs at the Broad Institute. The primary goal of this role is to develop advanced laboratory cellular models to enable functional genomics, drug screening, and drug resistance studies. Our current focus is on deriving 3D models for pediatric and rare cancers, with an initial pilot to generate cancer-resistant cell lines for major oncology drugs. This work will lay the foundation for expanding cancer cell line diversity through additional grant funding and external collaborations. The ideal candidate will be a proactive, curious scientist with a strong background in cell biology, patient-derived cancer models, drug resistance research, and platform development. This position also offers the opportunity to build leadership skills while working closely with Senior Group Leaders. Qualified candidates should have: A Ph.D.in a biological science (such as cell biology, biochemistry, cancer biology, or a related field) and a completed or soon-to-be-completed postdoctoral fellowship in a similar field. 2+ years of experience as a postdoc or in the industry. Excellent organizational and time management skills with strong attention to detail. Experience in cell biology with a focus on method development, team management, and mentoring junior research associates is highly desirable. Required Skills: Self-motivated and curious, with the ability to lead scientific research effectively. Demonstrated excellent problem-solving and communication skills with leadership, colleagues, and junior research associates. Track record of independently delivering scientific results. Expertise in molecular and cell biology techniques, including flow cytometry, immunofluorescence staining, Western blotting, ELISA, HTS cell culturing, 3D cell culturing, drug testing, etc. Impeccable and efficient experimental design, assay development, and execution. Strong commitment to "leading from the bench". Excellent interpersonal, written, and oral communication skills, perform detailed data analysis, and accurate record-keeping to support the cell model team members. Extensive experience in following and improving assay protocols is preferred. Responsibilities: Lead experimental design for cell model development, implement newly developed protocols, and conduct proof-of-concept studies to evaluate feasibility and optimize workflows. Serve as the technical lead and subject matter expert for cell model development efforts, driving strategic improvements to enhance efficiency, success rates, and overall platform capabilities. Validate cell models through sequencing technologies and oversee model fidelity assessments using flow cytometry, immunofluorescence, western blotting, and other relevant assays in collaboration with internal Scientists and Research Associates. Lead drug resistance modeling projects to establish oncology drug-resistant clones for functional genomics analyses. Manage and mentor Research Associates, fostering scientific and professional growth while ensuring high-quality data generation. Collaborate with Sellers Lab, Getz Lab, Cancer Dependency Map, PRISM drug screening, Cancer Genomics, and Cancer Data Sciences teams to advance research initiatives and share expertise. Coordinate closely with cancer genomics core staff to integrate experimental data with genomic insights for comprehensive analysis and interpretation. Identify opportunities for platform innovation and expansion to address emerging scientific needs and challenges. Partner with internal teams on large-molecule discovery and validation efforts to support broader oncology research goals. The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law. At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits. The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. Should you need a reasonable accommodation to complete the application or interview process, please contact ***************************** for assistance.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. • The purpose of this position is to provide support in evaluating various rodent genetic backgrounds in eliciting robust immune response within GBT. • By performing phenotypic analysis of B cell compartment, deep sequencing of B cell repertoire, and studying antibody responses from immunized rodents, we will be able to understand the utility of these animals in biotherapeutic development. • The incumbent, under the supervision by Pharmaceutical scientist, will be involved in the evaluation of the animals through the use of various immunogens, immunization approaches, and characterization method Specific job description: • Perform phenotypic analysis of lymphocyte compartments of rodents • Perform deep sequencing of B cell repertoire of animals and analyze repertoire diversity pre and post immunization • Immunize rodents using various strategies • Characterize antibodies diversity post immunization • Clone and express desired monoclonal antibodies for further analysis Experience: • Knowledge and work experience in the B cell phenotypic analysis by Flow Cytometry • Knowledge and work experience in hybridoma generation • Knowledge and work experience in rodent primary B cell culture • Knowledge and work experience in Ig cloning from B cell • Knowledge and work experience in affinity purification of polyclonal antibodies • Knowledge and work experience in screening and functional assay development for selecting specific monoclonal antibodies • Work experience in NGS of Ig repertoire • Relevant industrial experience is preferred Specific work plan: a) Perform all aspects of phenotypic analysis of lymphocyte compartments of rodents b) Perform, design and analyze B cell repertoire of rodents by deep sequencing c) Perform and design immunization strategies and generate hybridoma d) Evaluate and characterize immune response and monoclonal antibodies from desired rodents e) Contribute to drafting relevant documentation such as immunization protocols, phenotypic and repertoire analysis reports and laboratory methods. Qualifications Bachelor's degree required Additional Information Best Regards, Anuj Mehta ************

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Computational Biologist, Principal Scientist - CVRI The Computational Biologist is responsible for the evaluation of therapeutic hypotheses via integration and quantitative analyses of internal & external multi-omics data sources (DNA, RNA, proteomics, metabolomics, imaging, etc) for CardioVascular, renal and immunology Therapeutic Areas. Significant contributions to innovative research and development projects or collaborations, such as: identifying new targets with multi-omics evidence; assessing the link between targets and disease biology; proposing pharmacodynamic, efficacy or selection biomarkers; evaluating biomarker hypotheses from clinical trial specimens; assessing novel technologies; supporting therapeutic lifecycle management. Adopts and contributes to Best Practices for novel technologies, quantitative analyses, visualizations, and biological insight generation from multi-omics data sources. YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of the Computational Biologist are to: * Evaluate and contextualize the molecular evidence supporting a therapeutic hypothesis with relevant internal and external multi-omics data (DNA, RNA, proteomics, metabolomics, imaging, etc); * Contribute to Project Team scientific strategy and prosecution of critical path objectives, such as the identification of novel targets, biomarkers, or patient selection hypotheses. These contributions use state-of-the art computational biology methods to analyze large and complex human data sets; * Deliver biological insights on therapeutic assets and disease biology understanding to Project Teams, who apply these insights towards stage-gate decisions, portfolio prioritization, and/or submissions to Health Authorities; * Educate Project Teams on innovations in disease understanding in the CardioVascular, renal and immunology Therapeutic Areas; * Develop, evaluate, implement, and apply Best Practices for the execution and validity of quantitative analyses, integration, visualizations, and interpretation of multi-omics data. Demonstrate a growth mindset towards updating Best Practices with the emergence of new experimental or computational technologies; * Build cross-functional relationships to collaboratively partner across Pharma R&D and effectively network within disease understanding and data science communities of experts. WHO YOU ARE Bayer seeks an incumbent who possesses the following: Required Qualifications: * PhD degree with post-graduation experience in Sciences (Bioinformatics, Computational Biology, Biology, Chemistry, Genetics, Computer Science, Informatics, or other related quantitative discipline) with very strong computational focus; * Demonstrated experience in statistical analysis of DNA-seq, RNA-seq, proteomics, single-cell, or imaging datasets with proficiency in a programming environment (such as R or Python); * Demonstrated hands-on experience in analysis of large scale proteomics, metabolomics datasets; * Demonstrated peer-reviewed publications in computational biology; * Expert level of proficiency to choose fit-for-purpose quantitative analyses; * Strong analytical thinking and scientific rigor; * Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner to broad audiences and key stakeholders across multiple functions or to external partners; * Learning agility, highly self-motivated, with an aspiration of continuous improvement of oneself and others; * Evidence of providing tactical and strategic guidance to the pharma portfolio or data science ecosystem; * Demonstrated ability to propose, catalyze, and implement the development of interdisciplinary, systematic solutions that create business value; * Capability to present even very complex issues clearly and convincingly to project teams or decision bodies. Good communication skills. Can manage a high degree of complexity; * Demonstrates advanced business acumen, people and project leadership competencies, and technical expertise. Preferred Qualifications: * 5+ years of post-graduation experience in Sciences (Bioinformatics, Computational Biology, Biology, Chemistry, Genetics, Computer Science, Informatics, or other related quantitative discipline) with very strong computational focus; * 3+ years industry experience in drug development or biotech role with clear understanding of applying multi-omics data analyses to advance a portfolio of drug discovery or clinical development projects. Employees can expect to be paid a salary between $124,864.80 - $187,297.20. Additional compensation may include a bonus or commission (if relevant). Additional benefits include healthcare, vision, dental, retirement, PTO, sick leave, etc. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, skills, prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least 11/05/2025. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer. Location:United States : Massachusetts : Cambridge Division:Pharmaceuticals Reference Code:855418 Contact Us Email:hrop_*************

Spear Bio, founded in 2021, is a well-funded and rapidly growing biotech start-up headquartered in Woburn, Massachusetts. Our proprietary technology, Successive Proximity Extension Amplification Reaction (SPEAR), is a novel wash-free immunoassay platform, offering unprecedented sensitivity. We are dedicated to revolutionizing early disease diagnosis and monitoring by providing scalable, ultrasensitive solutions that deliver unparalleled accuracy in measuring low-abundant biomarkers, enabling clinicians and researchers to improve patient outcomes and advance global health. Research Associate/Associate Scientist: We are seeking a highly motivated and experienced Research Associate/Associate Scientist to join our growing Assay Development team, with hands-on experience running ultrasensitive immunoassays and the desire to be at the forefront of innovative research. This individual will play a pivotal role in advancing Spear Bio's new range of ultrasensitive immunoassays and assay biomarker programs. This role is based onsite in our lab in Woburn, MA 5 days/wk. Responsibilities: Test and execute immunoassay workflows on high-throughput, semi-automated platforms Assist in optimizing methods for processing different types of biofluid samples (ie. serum, plasma) for assay development Set up, calibrate, and maintain laboratory equipment, as specified by the requirements of various projects Assist in data analysis Acquire necessary equipment and supplies for various projects Qualifications: Master's degree in Biology, Biochemistry, Biophysics, Biomedical Engineering or a related discipline plus 1-3 years of assay development experience in an industry or academic lab Direct experience running biofluid-based immunoassays and qPCR experimentation is required Experience with neurodegenerative disease protein biomarkers a plus (ie. pTau217, pTau181, NFL, GFAP, alpha-synuclein, etc.) Experience characterizing and troubleshooting immunoassays Strong proficiency in molecular biology lab techniques General Qualifications: Self-motivated and ability to perform complex tasks in an effective manner Ability to follow instructions and grow in a mentorship setting Excellent organizational and documentation skills Desire to learn and implement new technologies Strong presentation and interpersonal skills, ability to build collaborative working relationships, and become a key contributor within the assay development team Work 5 days/week on site in Woburn, MA. LOCAL CANDIDATES will be given priority consideration for this position. We offer competitive compensation, meaningful stock ownership, comprehensive benefits, and a great work environment. This is an opportunity to enter an innovative, high-growth startup at an early stage and play an integral role in the company's growth and success. We are focused on identifying candidates who have demonstrated leadership and excellence throughout their careers and are excited by the prospect of building an industry-leading company. Spear Bio Inc. provides equal opportunity in employment to all persons. No person shall be denied equal access because of race, creed, color, religion, national origin, sex, sexual orientation, gender identity, age, or physical/mental disability. Spear Bio does not accept resume submissions from external recruiting agencies. Any unsolicited resumes or candidate information submitted without prior written agreement will be deemed the property of Spear Bio, and no placement fees will be paid.

Dana-Farber Cancer Institute (DFCI) is seeking a highly motivated Pre-Clinical Scientist to support the research activities at the Experimental Therapeutics (ETx) Core and the Lurie Family Imaging Center (LFIC). The ETx Core and LFIC are co-located in a state-of-the-art 14,000 square-foot preclinical facility, fully equipped with housing and procedure rooms, as well as a suite of in vivo imaging scanners. The Pre-Clinical Scientist will integrate with a highly skilled team of Scientists and Research Associates, and report directly to the Director. The in vivo studies conducted at the facility are focused on cancer research, with an emphasis on in vivo pharmacology, the assessment of novel cancer therapeutics, and multimodality imaging of cancer, and provide key information for the improvement of cancer patient treatment and care. The position is at 27 Dry Dock Ave, South Boston ****************************** Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Responsibilities The successful candidate will work collaboratively and in concert with a staff of dedicated scientists, animal/imaging technologists/associates, administrative personnel, and clinical counterparts to design and execute oncology related mouse studies using various imaging modalities (BLI/MRI/SPECT/PET/CT, etc) as well as the entire spectrum of conventional (e.g., caliper measurements, clinical scoring) endpoints to evaluate pre-clinical novel cancer therapies. The Pre-Clinical Scientist will work closely with the Director to execute the vision and strategic direction of translational cancer research. The Pre-Clinical Scientist will partner with clinical affiliates to facilitate bidirectional translational cancer science. The Pre-Clinical Scientist will work closely with other Centers and Departments at Dana-Farber that are engaged in research on small animal modeling in cancer and in experimental therapeutics. The Scientist will be expected to develop research projects for presentation at national meetings and publication in peer-reviewed journals. The Pre-Clinical Scientist will build collaborations with principal investigators, other departments, and industrial partners to design experimental therapeutics studies, and will be responsible for the execution, analysis and generation of reports for studies. Skills and Abilities Required * Hands-on experience using various cell line and PDX mouse/rat models and orthotopic models to execute in vivo workflows is highly desired. * Familiar with IVIS, PET/CT, MRI and other imaging approaches. * Demonstrated ability to deploy novel in vivo models to enable drug discovery and translational research. * Excellent interpersonal and communication skills with the ability to interact effectively with internal and external collaborators. * Demonstrated expertise in various in vitro methodologies such as immune profiling by flow cytometry, ELISA and Western blot analysis. * Ability to establish independent research and secure external funding * Full-time, M-F; hours may vary with project needs Dana-Farber Cancer Institute supports a robust Scientist career track with multiple opportunities for advancement, leadership, and recognition. The successful candidate will be appointed to a level within the Scientist career track commensurate with his or her accomplishments and abilities. Promotion on this track will be based on achievement of goals. Qualifications * PhD cancer biology, biology or relevant biological sciences * Minimum of 5 years' experience in pre-clinical pharmacology pre- or post-PhD * Established track record of research publications, preferably in cancer research * Builds productive internal/external working relationships. * Having wide-ranging experience, uses technical concepts and Institute objectives to resolve complex issues in creative and effective ways. * Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. * Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. * Networks with key contacts outside our own area of expertise. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $80,000 - $82,900 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

🌍 Machine Learning Scientist | Applied ML / Deep Science | NYC A leading science-driven venture group is building a high-impact applied ML team - and they're looking for a Machine Learning Scientist to join them. This is the kind of environment where new scientific platforms are born, supported by serious domain expertise across biology, chemistry, materials and more. About the role You'll design cutting-edge LLM workflows, build custom evaluation frameworks, and turn early prototypes into scalable systems that shape how scientific discovery happens. 💡 What you'll work on Create and test LLM reasoning, planning and tool-use workflows Build and benchmark models with rigorous, domain-aware evaluations Scale prototypes and integrate production-ready feedback loops with scientists and engineers 🚀 What they value Curiosity and depth in applied ML Strong experimentation habits and clear thinking around evals Ability to work closely with multidisciplinary teams in a high-ambition environment If this sounds interesting, drop me a message and we'll arrange a chat.

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. The purpose of this position is to develop new scientific knowledge, technologies and engineering solutions to problems in material flammability, fire dynamics and Lithium-ion battery safety research, which can be used for the prevention or control of industrial property loss. The principal responsibilities are to carry out research projects in the areas of flammability, fire spread, and heat transfer in fires from solid combustible as well as Lithium-ion batteries. Key areas of research include understanding of fire behavior at the medium and large scales via bench-scale experiments and theoretical models on material flammability and flame heat transfer. Projects can also involve advanced flame diagnostic of buoyant turbulent sooty flames and wall fires. The experimental and theoretical studies will be closely integrated with Computational Fluid Dynamic (CFD) model development and validation within the work group. The position is responsible for all aspects of project management including project proposals, execution, and reporting. The position requires a PhD in Mechanical, Chemical Engineering, Fire Protection Engineering, or related fields with a strong fundamental background in combustion, fluid mechanics, heat transfer, material science and applied mathematics. Extensive experience in experimental methods in thermal fluids, material flammability, heat transfer, combustion/fire, and an understanding of associated numerical methods are required. Research experience with advanced laser diagnostics in flame, experimental measurement in turbulent flame, heat transfer and failure analysis of battery is desirable. Also needed are excellent written and verbal communication skills, as well as demonstrated expertise in developing solutions to challenging technical problems. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #FMG #LI-TA1

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Scientist, Molecular AI Architecture to pioneer the convergence of biological computation, large-scale multimodal foundation models, and explainable AI architectures. This visionary role will drive next-generation materials discovery by developing novel AI systems. Essential Duties and Responsibilities: AI Architecture & Design: Architect novel AI systems and deep neural architectures (e.g., Transformers, CNNs) inspired by principles of systems neuroscience and neural coding principles. Design and implement large-scale multimodal foundation models and agentic AI systems capable of complex reasoning over molecular and battery datasets. Develop methods for model interpretability, representation engineering, and causal reasoning to ensure AI results are explainable and trustworthy for materials science. High-Performance Computing & Efficiency Lead software development efforts for high-performance computing (HPC), focusing heavily on GPU programming and scaling the training and inference efficiency of large neural networks. Optimize complex ML frameworks (like JAX) within systems and cluster computing environments (e.g., Singularity). Scientific ML Integration Create automated data-labeling and behavioral encoding models specifically designed to enhance Molecular AI training and data efficiency. Apply Scientific ML principles to complex molecular and battery datasets, translating biological computation concepts into practical AI solutions for materials discovery. Education and/or Experience: Education: Ph.D. in Computational and Systems Biology, Computational Neuroscience, or a closely related quantitative field. Core Expertise: Deep, demonstrated expertise in systems neuroscience, machine learning, and the design and implementation of deep neural architecture. HPC Software: Proven experience with software development for High-Performance Computing (HPC) environments, including expert-level GPU programming. Model Design: Practical experience in designing and training foundation models and working with concepts like multi-agent reasoning models. Interpretability Focus: Demonstrated work in model interpretability and representation engineering applied to complex scientific data. Preferred Qualifications: Specialized Frameworks: Practical experience with advanced mathematical and machine learning frameworks like JAX and Julia. Advanced Techniques: Expertise in Bayesian inference and working within specialized container/computing environments like Singularity. Advanced AI: Experience with the design and application of agentic AI systems and multimodal reasoning architectures.

Dana-Farber Cancer Institute (DFCI) is seeking a highly motivated Pre-Clinical Scientist to support the research activities at the Experimental Therapeutics (ETx) Core and the Lurie Family Imaging Center (LFIC). The ETx Core and LFIC are co-located in a state-of-the-art 14,000 square-foot preclinical facility, fully equipped with housing and procedure rooms, as well as a suite of in vivo imaging scanners. The Pre-Clinical Scientist will integrate with a highly skilled team of Scientists and Research Associates, and report directly to the Director. The in vivo studies conducted at the facility are focused on cancer research, with an emphasis on in vivo pharmacology, the assessment of novel cancer therapeutics, and multimodality imaging of cancer, and provide key information for the improvement of cancer patient treatment and care. The position is at 27 Dry Dock Ave, South Boston ****************************** Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. The successful candidate will work collaboratively and in concert with a staff of dedicated scientists, animal/imaging technologists/associates, administrative personnel, and clinical counterparts to design and execute oncology related mouse studies using various imaging modalities (BLI/MRI/SPECT/PET/CT, etc) as well as the entire spectrum of conventional (e.g., caliper measurements, clinical scoring) endpoints to evaluate pre-clinical novel cancer therapies. The Pre-Clinical Scientist will work closely with the Director to execute the vision and strategic direction of translational cancer research. The Pre-Clinical Scientist will partner with clinical affiliates to facilitate bidirectional translational cancer science. The Pre-Clinical Scientist will work closely with other Centers and Departments at Dana-Farber that are engaged in research on small animal modeling in cancer and in experimental therapeutics. The Scientist will be expected to develop research projects for presentation at national meetings and publication in peer-reviewed journals. The Pre-Clinical Scientist will build collaborations with principal investigators, other departments, and industrial partners to design experimental therapeutics studies, and will be responsible for the execution, analysis and generation of reports for studies. **Skills and Abilities Required** + Hands-on experience using various cell line and PDX mouse/rat models and orthotopic models to execute in vivo workflows is highly desired. + Familiar with IVIS, PET/CT, MRI and other imaging approaches. + Demonstrated ability to deploy novel in vivo models to enable drug discovery and translational research. + Excellent interpersonal and communication skills with the ability to interact effectively with internal and external collaborators. + Demonstrated expertise in various in vitro methodologies such as immune profiling by flow cytometry, ELISA and Western blot analysis. + Ability to establish independent research and secure external funding + Full-time, M-F; hours may vary with project needs Dana-Farber Cancer Institute supports a robust Scientist career track with multiple opportunities for advancement, leadership, and recognition. The successful candidate will be appointed to a level within the Scientist career track commensurate with his or her accomplishments and abilities. Promotion on this track will be based on achievement of goals. + PhD cancer biology, biology or relevant biological sciences + Minimum of 5 years' experience in pre-clinical pharmacology pre- or post-PhD + Established track record of research publications, preferably in cancer research + Builds productive internal/external working relationships. + Having wide-ranging experience, uses technical concepts and Institute objectives to resolve complex issues in creative and effective ways. + Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. + Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. + Networks with key contacts outside our own area of expertise. **Pay Transparency Statement** The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $80,000 - $82,900 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**

The **Center for Cancer Genomics** **(CCG)** at Dana-Farber Cancer Institute facilitates genomic discoveries in cancer using novel technology platforms to assist researchers in both genome-wide and gene-focused efforts. Technologies are selected and developed with a view to research-oriented ventures, as well as translational medicine and clinical relevance. Our clinical and research environments currently use state-of-the-art massively parallel sequencing assays of DNA and RNA from patient tumor samples. Data from these environments are used to advance research on both adult and pediatric cancers, improve our understanding of cancer biology, and advance the field of precision cancer medicine. This opportunity offers the chance to work at the forefront of translational cancer technologies and applications, in an informatics group that enables analyses in both arenas. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. The **Bioinformatician II** will report to CCG's Lead Informaticist and have the main responsibility of independently performing data analysis on a wide array of cancer multiomics projects ( _sc/sn RNAseq, sc ATACseq, Crispr screens, SNV/CNV, longread Oxford Nanopore Direct RNA sequencing,_ etc.) in consultation and collaboration with internal Dana-Farber research collaborators and external research partners. Some limited orchestration of automated pipelines may be required as necessary. The Bioinformatician II will have no direct reports. Dana-Farber has a wealth of local, on-premises, and cloud-based computing resources available to extensively explore the large body of data generated annually by Dana-Farber researchers and collaborators. Given these resources, the development of novel computational methods is strongly encouraged. **MINIMUM JOB QUALIFICATIONS:** Minimum Education: Bachelor's degree required in a STEM field. Master's degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field. Minimum Education: 3 Years of experience required; Master's degree with 1 year experience required; PhD with 0 years. + Experience with bioinformatics tools and databases for sequence alignment/analysis; germline and somatic variant calling; bulk and single-cell/nuclei RNAseq; long read sequencing (Oxford Nanopore). + Proficiency in programming languages commonly used in bioinformatics and data analysis, such as Python, R, and Perl. Experience with workflow languages such as WDL or Nextflow is a plus. + Excellent communication skills and ability to work collaboratively in multi-disciplinary team. **Pay Transparency Statement** The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $83,800 - $90,800 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**