Principal research scientist jobs in Portland, ME

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.

MUST HAVES: Bachelor's degree in Food Science, Nutrition, or related field (Master's preferred; PhD or PharmD a plus). 5+ years of product development experience from concept to commercialization in nutrition, food, beverage, supplement, nutraceutical, or biotech industries. Previous experience in basic and applied research and development preferably in small/mid-sized nutrition, food, beverage and/or biotech company. Strong background in food science, ingredient interactions, and process impact on nutrient stability. Knowledge of food safety standards and aseptic processing

Data and Evaluation Applied AI Scientist (Battery Informatics and Scientific AI Systems) $180k - $310k A fast growing energy technology company is expanding its AI research division and is looking for a Data and Evaluation Applied AI Scientist. The team builds advanced AI systems to accelerate discovery in energy storage and next generation battery materials. This role focuses on data correctness, scientific reasoning quality, and the integrity of battery domain knowledge used to train LLMs and multi agent scientific frameworks. The company combines material science and applied AI to develop high energy Li Metal and Li ion battery technologies. Their platform uses AI enhanced discovery to design electrolytes, model electrochemical behavior, and develop new materials with real world applications across transportation, robotics, aerospace, and long duration energy storage. What You Will Do • Translate complex battery materials knowledge into structured, high quality, AI trainable datasets • Lead rigorous data validation, cleaning, and annotation processes to ensure scientific correctness • Create benchmark datasets and design multimodal evaluation suites for model testing • Partner with AI architecture teams to assess and refine model reasoning across chemistry, materials, and electrochemical concepts • Apply techniques that improve correctness and alignment, including methods inspired by human feedback systems • Ensure that AI models demonstrate accurate understanding of molecular behavior, materials interactions, and battery domain logic • Drive the application of battery informatics principles across data pipelines and model development What You Bring • PhD in Chemical Engineering with a focus on lithium battery systems or in Materials Science or a closely related computational field • Deep domain expertise in battery materials and electrochemical systems • Strong experience converting scientific data into AI trainable structures • Practical experience with data validation, annotation, and benchmark dataset creation • Exposure to LLM pipelines, AI evaluation, or multi agent scientific workflows • Background in an applied science or AI for materials role Preferred Experience • Hands on experience with RLHF or other model tuning and alignment techniques • Work history in battery labs, materials informatics teams, or AI4Science groups • Experience designing domain specific evaluation frameworks for complex AI systems • Experience as a computational battery AI specialist

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!

+++ 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.

Education: Ph.D. or Pharm D in Pharmaceutical Sciences, Pharmacometrics, or related field with 3+ years or 4+ years of experience in pharmaceutical industry. Demonstrated experience in serving as clinical pharmacology lead on development programs. PK Experience: The incumbent should have a strong understanding of pharmacokinetic theory, compartmental modeling and simulation, and statistical approaches utilizing the latest computational approaches and tools. Knowledge: Sound working knowledge of the cross-function interfaces that are important for efficient drug development, and a detailed understanding of non-clinical and clinical DMPK processes. Programming experience (Phoenix) is must; other programming experience (e.g., , Monolix, R, WinNonlin, SAS, Splus) is desirable. Regulatory: Current knowledge of FDA regulatory guidance related to nonclinical and clinical pharmacology; experience having direct interaction with FDA, including submission of IND, NDA and other regulatory documents is required. Writing: Experience in non-compartment and model-based PK and PK/PD analyses and inclusion of data in the preparation of manuscripts, study reports and sections of regulatory submission documents (e.g.: INDs, NDAs, CTDs) is required.

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.

What if… you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability? Expedition Medicines Inc., is a privately held, early-stage biotechnology company pioneering the emerging field of Protein Editing. At Expedition Medicines we create small molecules that edit protein structure and function to unlock presently undruggable targets and a broad array of therapeutic modalities. Our platform integrates novel small molecule chemistry and chemoproteomic discovery technologies with Machine Learning (ML) to enable generative design. Expedition Medicines is backed by Flagship Pioneering, bringing their courage, vision, and resources to guide Expedition Medicines from platform validation to patient impact. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us! THE ROLE The Formulation team is seeking a highly motivated, attentive and self-driven candidate to join our team and contribute to the development of discovery compounds as an Senior Research Associate/Associate Scientist. This successful candidate will join an energizing and collaborative research environment working as part of cross function drug discovery teams in providing a develop-ability assessment of innovative molecules. KEY RESPONSIBILITIES Execute stage appropriate, fit-for-purpose preclinical formulations preparation (Solutions, suspensions, emulsions, nanoparticles, SEDDS etc.) for oral, and parenteral formulations on a small scale for small molecules Author protocols describing preparation of formulations for use at internal and external formulation labs Basic drug substance characterization by using techniques such as HPLC/UPLC, XRPD, DSC and PLM. Assessment of the chemical and physical properties of small molecules, such as solubility, dissolution, particle size and chemical stability Routine lab support such as buffer and mobile phase preparation, pH meter calibration, basic troubleshooting of lab equipment, and coordinating with external instrument and service vendors. Shipping and receiving samples between internal and external sites Summarize experimental results and presents at team meetings and department presentations Author templated memos and reports with limited guidance Maintain detailed lab notebooks and reports in compliance with GLP/GMP guidelines (as applicable) Evaluate novel drug delivery systems (e.g., lipid-based, amorphous solid dispersions, spray dry etc.) for poorly soluble compounds Support transition of formulations from discovery to clinical development (e.g., bridging studies) Independently design and perform focused experiments that drive progress in cross-functional formulation initiatives PROFESSIONAL EXPERIENCE & QUALIFICATIONS B.S. or M.S. in Chemistry, Biochemistry, Chemical Engineering, or a related discipline is required Three years minimum of industry, government or equivalent experience in small molecules formulation or a related field Hands-on experience with one or more of the following techniques: HPLC, UV-visible, DSC etc Experience with data analysis using standard software platforms (Excel, Prism etc.) Practical experience in developing and preparing preclinical formulations (small molecules) Basic knowledge of physicochemical properties and their relationship to formulation development Basic knowledge of pharmacokinetics (PK) and biopharmaceutics principles The ability to manage multiple parallel activities and deliver results to agreed timelines Ability to do bench work independently Strong collaboration, problem-solving, and adaptability in fast-paced research environments Excellent written, oral, and visual communication skills Excellent time management skills LOCATION: Cambridge, MA ABOUT FLAGSHIP PIONEERING Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE's “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at *************************** At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact. We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship. Recruitment & Staffing Agencies : Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. #LI-MB1 The salary range for this role is $81,000 - $126,500. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Expedition Medicines currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Expedition Medicine's good faith estimate as of the date of publication and may be modified in the future.

. . . . . GROWTH OPPORTUNITY BIOPHYSICAL CHEMISTRY | BIOCHEMISTRY MISSION STATEMENT: Develop BioPhysical and Biochemical Assays for screening and characterizing small molecules. Do your skills include the following? Biophysical methods: SPR for determining small molecule affinity to protein targets Biochemical assays: develop, analyze and troubleshoot (e.g. FRET, FP, AlphaScreen/LISA, ADPGlo) Protein characterization techniques: size exclusion chromatography, dynamic light scattering, DSF, TSA If you are answering YES - - Reach out to learn more about this exciting new opportunity: Call: ************ or Schedule a time: ******************************** or Email: ************************* Visit our Company Website - ************************ Visit our Career Opportunities Page - *****************************

ABOUT US There are more than 9 million immunocompromised people in the United States. Almost half a million of those represent a population that are moderately to severely immunocompromised and at highest risk for severe COVID-19, including stem cell and solid organ transplant patients as well as those with hematologic cancers. At Invivyd, Inc., we take those numbers very seriously and we come to work each day on a mission to deliver protection from serious viral infectious diseases, beginning with SARS-CoV-2. Invivyd deploys a proprietary integrated technology platform unique in the industry designed to assess, monitor, develop, and adapt to create best in class antibodies. In March 2024, Invivyd received emergency use authorization (EUA) from the U.S. FDA for a monoclonal antibody (mAb) in its pipeline of innovative antibody candidates. In October 2025, the FDA cleared the company's Investigational New Drug (IND) application and provided feedback to advance the company's REVOLUTION clinical program, Invivyd's development program for VYD2311, a vaccine alternative monoclonal antibody being investigated for the prevention of COVID-19. Be part of making a difference. Be part of Invivyd. Location: Newton, MA Invivyd's lab is in Newton, MA. This role will be an in-person role. Position Summary: In this role you will design, develop and execute functional assays for a cutting-edge antibody discovery platform. This involves applying a breadth of techniques in the virology, molecular biology, cell biology, and immunology spaces to advance innovative biotherapeutic products through discovery and pre-clinical development stages at Invivyd. This is a unique opportunity to join Invivyd's Antibody Discovery and Preclinical Development Team which generates and characterizes human therapeutic antibody candidates against infectious disease targets like SARS-CoV-2, influenza, and RSV. The Assay Development Senior Research Associate will serve as a key member of the discovery team, provide expert input, and execute new and established methods to meet project requirements and timelines. Responsibilities: * Development and independent troubleshooting of virus-based antibody screening functional assays and optimization of existing assays. * Contribute to high-impact projects within the Discovery group by characterizing lead antibody molecules for pre-clinical studies. * Design and perform experiments involving in vitro screening and characterization of antibody drug candidates using immunological, biochemical, and cell-based assays. * Design and generate pseudoviruses for use in evaluation of antibody candidates. * Generate authentic viruses in a BSL-2 setting for use in evaluation of antibody candidates. * Perform molecular design and characterization of DNA constructs used for assay development. * Execute basic molecular biology (DNA/RNA extraction, RT-PCR, PCR, cloning, etc.) and Cell Biology (mammalian cell culture, gene transfection and expression) to support antibody discovery efforts. * Collaborate closely across an interdisciplinary biologics research team to drive antibody discovery campaigns. * Employ high-throughput molecular biology methods for building new vectors and libraries. * Maintain appropriate records e.g. lab notebook, protocols, reports, data integrity. * Present data, both orally and as written reports, to internal stakeholders. Requirements: * Master's degree or Bachelor's degree and 6+ years of bench Industry experience in virology, molecular biology, cell biology, or other life science disciplines. * High proficiency in mammalian cell culture is required. * Previous experience working with virus in a BSL-2 setting is required. * Previous experience designing and optimizing cell-based assays and functional antibody characterization is highly preferred. * Ability to interpret in-process readouts for the purposes of assay optimization and troubleshooting. * Mammalian cell transfection with an understanding of expression vector design is highly preferred. * Strong understanding of molecular biology and experience with DNA construct design and sequence analysis is highly preferred. * Proactive team player and flexibility to work on multiple projects as the discovery programs evolve over time. * Excellent verbal and written technical and non-technical communication skills. At Invivyd we strive to create a welcoming and inclusive environment. Here all applicants will receive equal consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other applicable legally protected characteristics. Invivyd is proud to be an equal opportunity employer. We do not accept unsolicited resumes from agencies.

About Us Eat Well, Live Well. At Ajinomoto Cambrooke, we build careers grounded in helping improve people's health through nutritional therapies. Ajinomoto Cambrooke (ACI) was founded by parents looking to develop better solutions for their children with PKU. Over the subsequent 25 years, we have expanded into additional therapeutic areas with a focus on enjoyable nutrition as a core part of normalizing the life for people living with medical conditions. Joining ACI means becoming part of a diverse team of talented people who want to build their careers while contributing back to society in a positive way. We seek individuals who bring an entrepreneurial mindset with a bias for action and finding solutions. We provide an environment based in mutual respect and collaboration to support you and give you opportunities to learn and develop. Join us to find a rewarding work experience that lets you be at your best and have an impact on our patient communities. Why Join Us Our people are the key ingredient to our success. We offer a collaborative, innovative environment where you can grow your career and make an impact on global food and health solutions. We provide a comprehensive and competitive total rewards package, including: • Competitive Pay and Annual Bonus Opportunity • 401(k) with Company Contributions • Medical, Dental, and Vision - Effective Day 1 • Paid Time Off, Company Holidays, and Floating Holidays • Paid Parental Leave • Wellness Programs and Yearly Wellness Reimbursement • Work Flexibility • Company-Paid Life and Disability Insurance • Employee Assistance Program (EAP) • Tuition Reimbursement Opportunities • Career Growth and Development within a Global Organization • Company-Provided Mental Health and Caregiving support Overview The Product Development Team supports the medical nutrition business by developing new and revising existing product formulations to meet target characteristics that will deliver positive patient outcomes through therapeutic nutrition. Strong collaboration with the Directors of Medical Nutrition, Marketing, and Sales will be required to ensure desired nutritional levels are achieved throughout the product shelf-life, patient insights on flavor, texture, and palatability are incorporated. In this role, you will contribute to the ideation and exploration for uses of new to ACI ingredients and new to ACI business ventures in additional disease-states reliant on specialized medical nutrition. This position sits in our Corporate Office located in Ayer, MA. Qualifications EDUCATION, CERTIFICATIONS AND EXPERIENCE: • Minimum bachelor's in food science, nutrition, or related field; Master's degree preferred. PhD, PharmD a plus. • 5+ years of experience in product development, with ability to take concepts from bench top to commercialization for nutritional beverages and / or nutritional powder blends from concept to commercialization. • 5+ years in basic and applied research and development preferably in small/mid-sized nutrition, food and/or biotech company. Experience with food/beverage formulation and manufacture of nutritional products that meet stability, sensory and nutritional requirements. Direct experience with aseptic processing / Tetra Pak a plus. • Expert scientific knowledge in food science with emphasis on product development involving interaction amongst ingredients and impact of process techniques on use of micro-nutrients. • Experience with nutritional modeling software and familiarity with FDA regulations preferred, exposure to EU regulations a plus. • Able to design and monitor product shelf-life procedures both regular and accelerated for nutritional products. • Strong translational science background with experience in converting basic nutrition-science insights into consumable products. KNOWLEDGE, SKILLS AND ABILITIES: • Build relationships with vendors to source ingredients to meet product specifications. • Overall understanding of how business units interact to facilitate successful product development and commercialization. • Ability to define new product needs in terms of process needs and product characteristics including organoleptic needs / claims • Demonstrated Leadership capability with a focus on innovation to drive product development proactively and passionately. • Exhibit the understanding of use of standard operation procedures related to product development, process development and product shelf-life determination. • Well versed with food safety requirements and regulations. • An understanding of human nutrition and ability to review primary scientific literature. • A strong ability to communicate basic science and technical challenges to non-technical audiences. • A strong understanding of ingredient interactions in a food/beverage matrix throughout processing and shelf life. • Ability to design shelf-life evaluation matrices considering product composition, process impact and other critical factors when designing new products in medical nutrition arena. • An understanding of macro and micro-nutrient analytical procedures and their principles. • Ability to work in a fast paced, cross functional team environment. • Excellent analytical skills, strong attention to details, good communication and interpersonal skills. • Excellent organizational skills, the ability to balance multiple projects, set priorities, and drive results. Working Conditions / Physical Requirements WORKING CONDITIONS: This position works in a food manufacturing environment and requires the ability to adhere to all GMP, Food Safety, workplace safety and security policies including wearing required personal protective equipment, as well hair net, beard net, etc. as required PHYSICAL REQUIREMENTS: Position requires the ability to occasionally lift up to 50 pounds, stand, walk, bend, reach, push, and pull. Ability to use a computer, keyboard, telephone, and other office equipment. Ability to wear all required PPE. Responsibilities • Utilize your exemplary food science and ingredient know-how to co-create and execute medical formula products against ACI's strategic R&D roadmap to support the overall corporate strategy while meeting the internal quality expectations. • Support the Leadership and Management teams with scientific support in the areas of product development, clinical development, product manufacturing and new ingredient compound / product initiatives. • Research and help develop clinical evidence supporting existing and new products and ingredient compounds for use in commercial activities. • Participate in conferences, clinician meetings and other forums to present ACI's clinical evidence. • Ensure existing and new products, processes or ingredient compounds have strong Intellectual Property protection thus providing ACI a sustained competitive advantage. • Other duties as assigned. Salary Range $105,000 - $130,000 Annual with potential 12.5% Bonus EEO Statement Ajinomoto Cambrooke, Inc. is an Equal Opportunity Employer-Vets/Disabled, committed to a diverse workforce. If you need assistance with completion of an application for employment, please contact Human Resources Department at ************.

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.

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.

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.

About Somite Somite.ai is a venture-backed company aiming to become the OpenAI of stem cell biology, developing AI foundation models for human stem cells to drive novel cell therapies at scale. We take a full-stack approach - generating data at 1,000x lower cost, training large-scale models with unmatched predictive power, and using these models to discover, refine, and optimize high-impact applications in cell therapy. Our founding team includes repeat AI entrepreneur Dr. Micha Breakstone (Chorus.ai, acquired for $575M), the Head of the Fundamental AI Group at MIT (pioneered the foundational research on scaling laws), and three Harvard Medical School professors and National Academy of Sciences/Medicine members, including the Chair of the Genetics Department at HMS. Based in Boston and launching operations in January 2024, Somite has raised close to $60M to date (Forbes). Somite's Core Values: We show up - fully accountable, all-in, doing whatever it takes We act with urgency - swift, decisive, proactive We support one another - collaborative, helpful, empathetic Location: Boston, MA (onsite, full-time) About the Role: We seek a skilled Bioinformatician to lead the design and execution of analysis pipelines for large-scale transcriptomic datasets. You'll be responsible for preprocessing, quality control, and biological interpretation of sequencing data, contributing to the development of novel sequencing protocols and technologies in close collaboration with wet lab scientists, computational biologists and machine learning researchers to support Somite's therapeutic programs. This is a hands-on, data-centric role ideal for someone who thrives in a fast-paced, interdisciplinary environment and wants to help build transformative cell therapy technologies from the ground up. Responsibilities: Build, maintain, and run robust, reproducible pipelines for single-cell and bulk RNA-seq data (QC, alignment, quantification, normalization, clustering, annotation, etc.). Apply standard and advanced analyses using tools like Scanpy, Seurat, and R/Bioconductor packages. Process and interpret data from state-of-the-art single-cell transcriptomic and multiomic platforms, alongside new in-house protocols being developed to enable innovative microbiological sequencing workflows. Collaborate with wet lab scientists to support experimental design and data interpretation. Mentor and foster collaboration and knowledge sharing across disciplines. Help design and validate cutting-edge protocols for novel transcriptomic technologies, integrating new experimental modalities with bioinformatics pipeline. Qualifications: PhD in Bioinformatics, Genomics, Computational Biology, or a related field. Equivalent industry experience is also welcome 3+ years of hands-on experience analyzing large-scale single-cell or bulk transcriptomic datasets Proficiency with common genomics tools: SAMtools, STAR/STARsolo, Bowtie, Tophat, HTSeq, Clustal, bash scripting, etc. Strong command of Scanpy or Seurat Demonstrated fluency in Nextflow/Snakemake and workflow reproducibility principles. Strong R and/or Python programming skills Excellent organizational and documentation habits Preferred Qualifications: Experience working in a quantitative lab or with biotech/pharma pipelines Experience working in a fast-paced startup or interdisciplinary team The opportunity to contribute to platform technologies with real-world therapeutic impact Experience working at the interface of technology development and data analysis, particularly involving novel molecular biology or sequencing techniques What We Offer A mission-driven team reshaping healthcare through innovation in AI and cellular engineering. The opportunity to contribute to platform technologies with real-world therapeutic impact. Competitive compensation and equity in a high-growth company. Flexible work arrangements, generous benefits, and a collaborative environment. Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed. Join us and help unlock the full potential of AI for the benefit of human health!

Job DescriptionSalary: The Scientist will contribute to Extractables & Leachables studies performed in the E&L laboratory at Boston Analytical to support client submissions. The ideal candidate will have experience operating LC-MS and GC-MS systems for analysis of volatile, semi-volatile, and nonvolatile organic extractables and leachables samples. PRIMARY DUTIES AND RESPONSIBILITIES Prepares extractions for analysis. Analysis of sample extract solutions by GC-MS and LC-MS to adequately resolve and identify all compounds. Coordinate findings with the team to generate conclusions. Author detailed cGMP report sections for work performed outlining study findings. Develop analysis methods for drug product leachables testing. Performs system maintenance and calibrations to ensure equipment is operating with specified requirements. Ensures all work performed strictly adheres to Company, client and Pharmacopial requirements. Proper handling of hazardous waste in compliance with the Company and DES hazardous waste rules. REQUIREMENTS & QUALIFICATIONS Qualification includes a Ph.D. in Analytical Chemistry with 2+ years experience or a Masters degree and 4+ years experience or a Bachelors with 6+ years of experience performing and interpreting MS analysis. Knowledge of current Extractable & Leachables guidance (USP, ISO 10993) and best practices preferred. Experience working in a cGMP environment required. MINIMUM SKILLS REQUIREMENTS Must have the ability and skill to perform the detailed job requirements noted above competently, safely and proficiently. A self-starter, motivated person who possesses good interpersonal skills capable of effectively interacting with all departments and client personnel. Must have excellent organizational, verbal communication and technical writing skills. Must be a team player with integrity and concern for the quality of Company products, services and staff members. Demonstrated LC-MS and/or GC-MS operation and data interpretation capability. Ability to develop and optimize HPLC, UPLC, and GC methods. Documented success managing complex projects to completion within customer expectations for deadline, cost, and overall deliverable

The R&D Discovery and Technology Futures Team at IDEXX Laboratories is seeking a motivated early career Associate Scientist to join our LCMS group in advancing the next generation of multiomic biomarker assays. In this highly collaborative role, you will work alongside a team of talented scientists at the BS, MS, and PhD levels to support biomarker discovery projects that drive innovation in veterinary diagnostics. The successful candidate will be innately curious about mass spectrometry and proteomics, eager to develop technical expertise with cutting-edge instrumentation, and thrive in a fast-paced, scientifically diverse environment. In this role, you will contribute to large-scale biomarker discovery studies using state-of-the-art UPLC-MS/MS platforms. You will work closely with a scientifically diverse team with expertise in proteomics, glycoproteomics, metabolomics, and lipidomics to process and analyze complex biological samples from blood, urine, tissue, and fecal matrices. This position offers significant opportunities for hands-on learning and professional growth as you develop mastery of advanced analytical techniques and contribute to projects that directly impact animal health. What You'll Do: Perform large biomarker studies, including sample preparation, fractionation, UPLC-MS/MS analysis, and data processing across diverse sample types Prepare materials, execute experiments, gather and analyze data, and reach conclusions with guidance from senior team members Use cutting-edge instrumentation and analysis software to explore the world of proteomics, glycoproteomics, metabolomics, and lipidomics Perform basic maintenance and troubleshooting of UPLC and mass spectrometry systems Document experiments and lab activities with meticulous attention to detail; prepare reports and summaries; present results and conclusions to team members Order and maintain necessary reagents, consumables, and laboratory supplies Collaborate with multiple cross-functional teams to support new product development and on-market products Contribute to method development and optimization efforts for novel biomarker assays What You Need to Succeed: Bachelor's degree in Chemistry, Biochemistry, or related fields with 0-3 years of relevant experience in mass spectrometry, proteomics, or analytical chemistry (industry or academic research) Hands-on laboratory bench and instrumentation skills, including experience with chromatography and/or mass spectrometry systems Strong analytical and problem-solving skills with exceptional attention to detail Ability to quickly learn new techniques and adapt to changing priorities Excellent organizational and time management abilities Strong communication skills, both verbal and written, with ability to present data clearly Ability to work independently and cooperatively as part of a team Demonstrated initiative, accountability, and ownership of assigned tasks Highly Desirable: Experience with UPLC-MS/MS systems, particularly Thermo instruments (Vanquish UPLC, Orbitrap, or Q Exactive platforms) Familiarity with proteomic sample preparation techniques (protein extraction, digestion, fractionation) Exposure to proteomic or metabolomic software packages (e.g., Proteome Discoverer, Skyline, MaxQuant, Compound Discoverer) Experience working with biological matrices such as plasma, serum, urine, or tissue Physical Demands and Work Environment: Laboratory setting with varying levels of noise and exposure to various potential chemical and biological hazards Compliance with approved laboratory practices is required Extensive sitting, standing, and computer use Ability to extend and reach with hands and arms May be required to lift, move, and carry up to 50 pounds Occasional travel may be required What You Can Expect From Us: Base salary range starting at $62,000 based on experience Opportunity for annual cash bonus Health / Dental / Vision Benefits Day-One 5% matching 401k Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more If you're looking for a role that'll challenge you, offer a variety of work and learning opportunities in a cutting-edge analytical field, while helping an amazing industry, we'd love to hear from you! Why IDEXX: We're proud of the work we do because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a global workforce of over 10,000 talented people. So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. Let's pursue what matters together. IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. While we appreciate our staffing partners, we are unable to accept unsolicited agency resumes. #LI-CAG

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**

Are you looking for a hands-on role at the cutting edge of Generative AI research and solutioning in insurance? Do you want to design and implement science-driven GenAI features spanning multimodal data such as imagery, structured data, text, and audio that can transform pricing, risk evaluation, and product innovation? The Modeling Sophistication Deep Learning Research team is seeking a highly skilled technical leader who combines strong research depth with practical engineering ability. In this role, you will be both building end-to-end GenAI solutions yourself and providing technical direction, mentorship, and influence to peers and partners. You will explore novel architectures, LLM-based pipelines, retrieval-augmented generation (RAG) applications and evaluation, multimodal fusion, and generative approaches for creating new features, while ensuring seamless integration into Liberty Mutual's business applications. This position is ideal for someone with deep curiosity, tenacity, and the drive to scale the impact of GenAI research across diverse insurance products without traditional managerial responsibilities. This role may have in-office requirements based on candidate location. Level of position offered will be based on skills and experience at manager discretion* The successful candidate will: * Have a proven track record of developing GenAI-driven solutions (e.g., LLMs, multimodal models, diffusion models, foundation models) for complex real-world use cases. * Be fluent in hands-on development, from data wrangling to model training/fine-tuning, evaluation, and deployment. * Possess strong expertise in AWS-native tech stack and MLOps best practices. * Bring practical experience in scaling GenAI models and services for business-facing applications. * Demonstrate the ability to translate cutting-edge GenAI research into features with measurable business impact. * Provide technical leadership and guidance, influencing best practices, solution architectures, and research directions across teams. * Value collaboration with engineers, researchers, and business partners to bring novel science-based ideas to market. Responsibilities: * Research, design, and build GenAI-powered feature pipelines, including text, vision, audio, and multimodal integrations. * Serve as a subject matter expert for GenAI solutioning in insurance use cases (pricing, claims, underwriting, product innovation). Prior Insurance knowledge / experience is not required. * Manage (or help manage for Asst Dir role) the end-to-end lifecycle of generative models and features, including training, fine-tuning, deployment, monitoring, and CI/CD pipelines. * Research and apply retrieval-augmented generation (RAG) techniques, including developing pipelines, optimizing retrieval strategies, and evaluating RAG system performance. * Drive MLOps best practices for scalable deployment of LLMs and other generative models in production environments. * Mentor peers and junior scientists/engineers through technical guidance and code-level contributions, without direct line management. * Collaborate with vendors and internal partners to evaluate and integrate external GenAI tools, foundation models, and datasets. * Partner with the broader research and data science community to advance state-of-the-art methodologies and foster cross-team knowledge sharing. * Communicate findings and strategic recommendations to leadership, ensuring business and technical alignment. Qualifications * Broad knowledge of predictive analytic techniques and statistical diagnostics of models. * Advanced knowledge of predictive toolset; reflects as expert resource for tool development. * Demonstrated ability to exchange ideas and convey complex information clearly and concisely. * Ability to establish and build relationships within and outside the organization. * Ability to give effective training and presentations to management and other groups. * Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. * Broad knowledge of business drivers and market context. * Has a value driven perspective with regard to understanding of work context and impact. * Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience. About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: *********************** Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices * California * Los Angeles Incorporated * Los Angeles Unincorporated * Philadelphia * San Francisco