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We are seeking a highly motivated and detail-oriented Data Scientist to join our team.

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. Data Scientist or Data Analyst position.

Job Description Summary Location: Cambridge, MA - Onsite The Oncology Translational Research (OTR) group at BR is seeking a highly motivated individual to serve as a lab head investigating the mechanisms of efficacy and resistance to radioligand therapy (RLT). This role involves collaborative work with various groups across the drug development spectrum, including drug discovery, data science, and early clinical development groups, located in Watertown (Mariana site) and Cambridge (Oncology BR site). The successful candidate will be responsible for leading a team and will be tasked with the design & execution of preclinical translational studies and clinical biomarker plans. Job Description Key responsibilities: • Supervise translational experimental plan and biomarker strategies for various RLT drug discovery programs, • Design and conduct translational studies including in vitro assays with RLT, dissection of mechanism of action, and testing of drug combinations, • This is a dual post. The final level and title of the role offered will be determined by the hiring team based on the skills, experience & capabilities required to perform the role at the level offered (Principal Scientist I/II):, • Principal Scientist I: Post Doc experience or 3 years of relevant experience in academia or industry., • Principal Scientist II: Post Doc experience plus 2 years of relevant industry experience after the postdoctoral period., • Ph.D. in molecular, cellular, cancer biology or related fields., • Strong foundational knowledge and experience working on cell death mechanisms, experience in the field of DNA damage response and repair, and/or and RLT., • Proficiency with data mining and computational skills., • Deep understanding of cancer cell biology, familiarity with innovative cell and molecular biology techniques., • Excellent creative thinking and problem-solving skills., • Enthusiasm for scientific collaboration and teamwork, positive attitude, scientific curiosity, dedication, agility., • Desire to work collaboratively, manage a research team and scientific projects, as well as clearly communicate scientific findings. Novartis Compensation and Benefit Summary: The salary for this position is expected to range between $108,500 and $201,500 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $108,500.00 - $201,500.00 Skills Desired Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curious Mindset, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (ML), Management, Medical Research, Molecular Biology {+ 10 more}

Wildfire Scientist - Impact Forecasting This is a hybrid role with the flexibility to work both virtually and from our Boston office. Remote options within the US may be available for experienced candidates. Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like This role will be part of Aon's Impact Forecasting Wildfire team, working at the intersection of wildfire science, meteorology, and catastrophe modeling for the (re)insurance industry. You will contribute to the development of wildfire hazard and loss models, with a strong focus on meteorological drivers of fire risk. • Develop and enhance wildfire catastrophe models for the (re)insurance market, with emphasis on:, • Evaluating and processing weather reanalysis, observations, and climate change scenarios (ex, ERA, RAWS, IPCC), • Integration of fire danger and weather indices into modelling of wildfire occurrence and severity, • Develop, test, and maintain data processing and modeling pipelines in R and / or Python, including automation for handling large datasets., • Perform model validation and verification:, • Compare model output against historical wildfire experience, • Document and communicate research findings back into the modeling workflow, • Diagnose and improve model performance, especially for extreme events, • Collaborate closely with an international and interdisciplinary team of:, • Catastrophe model developers, meteorologists, wildfire scientists and engineers, • Software developers and clientfacing colleagues Skills and experience that will lead to success • M.S. or Ph.D. in meteorology, climatology, atmospheric science, wildfire science, environmental science, applied geoscience, a closely related field or equivalent industry experience is required, • Strong programming / scripting skills are required, preferably in R and / or Python, are required, • Experience with numerical models, ideally including weather, climate, or environmental models relevant to wildfire risk is required, • Solid analytical and statistical skills, including statistical analysis of large datasets, time series, and extremes is required, • Experience working with geospatial data and tools, such as ArcGIS and QGIS) is preferred, • Experience with SQL or other database tools is preferred For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances. Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. The salary range for this position (intended for U.S. applicants) is $115,000 to $140,000 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. This position is eligible to participate in one of Aon's annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan. #LI-AR1 #LI-HYBRID 2579278

Job Description Summary #LI_Hybrid Location: Cambridge or San Diego (USA) We are seeking an enthusiastic and motivated PK Sciences project team representative to develop and implement translational or clinical pharmacology strategies to support the pursuit of transformative new medicines through late clinical development. Our unique organizational structure enables colleagues to work seamlessly in the translational and/or clinical space, offering opportunities for development and bench-to-bedside-to-bench translation. Experience in late discovery into clinical development is preferred. The scope of the role potentially includes small molecules, biologics/therapeutic proteins, antibody drug-conjugates, radioligand therapies and/or cell therapies across major therapeutic areas in Novartis, including oncology, immunology, cardiovascular renal metabolism, neuroscience, and global health. This position drives close interdisciplinary collaboration among the PK Science disciplines, Drug Disposition (ADME, BA), Modeling & Simulation (M&S), and Operations through PK science sub-teams to achieve a holistic and integrative perspective of the ADME/clinical pharmacology properties of candidates and drugs. Collaborates effectively with broader, crossdisciplinary project teams to ensure PKS strategies are well integrated into project plans and scientific discussions. Job Description Key responsibilities: • Represent the PK Sciences function in project teams, interactions with stakeholders within the organization and interactions with regulatory agencies, as appropriate, • Proactively contributes to developing drug candidates across Research Development and Commercial continuum, providing expert pharmacokinetic / drug metabolism and clinical pharmacology input, • Work with teams to elucidate the understanding of PK/PD relationships and develop dosing strategies and predictions, • Develop and execute clinical pharmacology strategies, including input into nonclinical and clinical study design, and analyzing PK and PK/PD data, to support compound development from discovery through late development, • Provide PK, dosage, and PK/PD components of study protocols, reports, project summaries and development plans, and author pharmacokinetic/clinical pharmacology/biopharmaceutics sections of IND/IMPDs and NDA/BLAs as well as prepare appropriate responses to Health Authority questions, • Drive close interdisciplinary collaboration among the PK Science disciplines, Drug Disposition (ADME, BA), Modeling & Simulation (M&S), through PK science sub-teams., • Works in close collaboration with clinicians and clinical development colleagues to integrate PKS insights into study design, data interpretation, and project decisionmaking, • Use of Artificial intelligence (AI) / Machine Learning (ML) approaches to enable model guided molecular design, preclinical and clinical data automation, authoring regulatory documents, and the use of predictive models This role reports to Therapeutic Area group in PK Sciences within Translational Medicine (TM) in Biomedical Research. PKS is a global organization situated within Translational Medicine (TM), the clinical research arm of Biomedical Research within Novartis. PK Sciences plays a pivotal role in bringing innovative medicines to patients, by building on research advances to develop new therapies, bridging drug discovery and clinical application. PK Science is an enterprise-wide organization, working across both Biomedical Research and the Development organizations to advance the scientific knowledge of pharmacokinetics, metabolism and clinical pharmacology. Essential requirements: • Ph.D. / Pharm.D. with relevant experience in clinical pharmacology, drug metabolism and pharmacokinetics or a related background., • A minimum of 0-2 years of experience in drug discovery and/or development in a relevant environment (academia, CRO, biotech or Pharma). 2+ years of experience preferably in a lead role overseeing ADME/DMPK project strategy, either in discovery or clinical development to be considered for Principal Scientist II, • Extensive and in-depth knowledge of pharmacokinetics including, drug metabolism and PK/PD evaluation, experience in working in project teams (preferably global) as well as sound awareness of recent developments in drug development and regulatory sciences., • Exposure to working in a cross-functional, matrixed, project-team environment., • Strong oral and written communication skills. Desirable Requirements: • Hands-on project experience with Artificial intelligence (AI) / Machine Learning (ML) approaches is a plus Leadership / Novartis Behaviors in Action • Delivers results through disciplined execution, continuous improvement, and a strong focus on value and outcomes., • Demonstrates an enterprise mindset and strong ownership by prioritizing resources and decisions for maximum Novartis and patient impact., • Role models Novartis leadership behaviors through visible actions, continuous self reflection, and openness to feedback, • Builds trust through transparent communication, clear accountability, and consistent delivery against commitments. AI fluency: • Brings strong AI and digital fluency, using enterprise tools to enhance insight generation, decision making, and team productivity. This is a dual posting. The final level & title of the offer role would be determined by the hiring team based on the skills, experience & capabilities required to perform the role at the level the role has been offered. The salary for this position is expected to range between: Principal Scientist I: $108,500 and $201,500 per year. Principal Scientist II: $119,700 and $222,300 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $108,500.00 - $201,500.00 Skills Desired Chemistry, Clinical Pharmacology, Clinical Research, Drug Discovery, Initiative, Medical Research, Patient Care, Physiology, Quality Control, R&D (Research And Development), Simulation Software, Translational Medicine

Title: Data Scientist Desired Location: US, REMOTE The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners, to help them grow. Meet Nuvei, Nuvei is the global fintech building the infrastructure for every payment, everywhere. Its modular, flexible, and scalable technology enables leading companies to accept next-generation payments, offer all payout options, and benefit from card issuing, banking, risk, and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 52 markets, 150 currencies, and over 720 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally through one integration. At Nuvei, we live our core values, and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey! Your Mission We are looking for a Risk & Payments Intelligence Analyst to join our Risk & Fraud team. In this role, you will analyze data related to ACH transactions, ML risk scores, risk rules, decisioning systems, and vendor data to understand performance, surface emerging trends, and inform ongoing optimization of payment program decisions. This role focuses on portfolio and system level analysis rather than case-by-case transaction review or manual queues, and requires strong analytical judgment in ambiguous, data-constrained environments, including the evaluation of new data, analytical methods, and AI-assisted approaches as our risk capabilities evolve. Key Responsibilities · Analyze end-to-end ACH payment decisioning performance, including ML risk scores and risk rules, across approvals and losses. · Detect and analyze emerging trends in customer behavior, payment outcomes, and risk signals. · Evaluate how changes in strategies, data, or rules impact downstream decisioning and outcomes over time. · Independently define analytical questions, assemble datasets from multiple sources, and iterate toward insights without predefined reporting templates. · Use Python to perform exploratory data analysis, feature evaluation, cohort analysis, and experimentation across large ACH and risk datasets. · Develop repeatable analytical workflows and lightweight tooling in Python to accelerate insight generation and reduce manual analysis overhead. · Perform ad hoc analyses to evaluate the value and usefulness of new or existing data signals for risk decisioning. · Design analyses and reporting that support ongoing risk reviews, strategy discussions, and portfolio-level monitoring. · Explore and apply established and emerging analysis techniques to accelerate insight generation, trend detection, and decision support within regulated risk and payment datasets. · Partner with Risk, Product, and Relationship Management teams to inform strategy refinement and prioritization. · Communicate trends, findings, and recommendations clearly to internal stakeholders and, when applicable, external clients. · Work with large, imperfect, and regulated datasets to form actionable conclusions despite data gaps, latency, or attribution challenges. 3+ years of experience in payments risk, fraud analytics, or decisioning performance analysis within fintech, payments, or e-commerce. · Experience working with ACH or bank transfer payment data strongly preferred. · Strong SQL skills and experience working with large transactional datasets. · Strong Python skills for data analysis (e.g., pandas, notebooks), experimentation, and analytical automation. · Experience managing and analyzing data related to risk-based decision systems, or similar decisioning frameworks. · Ability to translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences. · Comfort operating in ambiguous environments with incomplete, delayed, or imperfect data. · Experience using AI-assisted tools or models for data analysis, pattern discovery, or insight generation is a plus. Working Language

About the Job: The Scientist I, Clinical Development is a scientist with data expertise leading key scientific studies from concept through to publication, focused on value of FMI’s products in clinical practice and oncology drug development. This role executes on strategic scientific collaborations involving a range of functions and external collaborators, supporting studies that establish the clinical validity and utility of products and biomarkers aligned to Clinical Development Plans and FMI enterprise strategy. Working with Clinical Development leadership, this position will execute analysis for and support studies through conceptualization, narrative building, and writing using clinical cohorts or real-world evidence in partnership with the project lead. Key Responsibilities: • Execute analysis for multiple projects and publications supporting Clinical Development Plans (CDPs) and establishing clinical validity and clinical utility of our products., • Contribute to projects including working with project lead to layout key objectives, figures, and narrative for abstracts and manuscripts, and soliciting and incorporate input from key stakeholders with guidance from CDP leads., • Conduct translational research to develop insights into predictive and prognostic biomarkers., • Leverage FMI’s clinical and genomic datasets to link genomic findings with clinical outcomes., • Contribute to protocol and SAP design and review for studies led by Clinical Development., • Support collaboration cross-functionally with internal and external scientists and thought leaders (academic and biopharma), • Manage and establish beneficial collaborations with key opinion leaders in oncology., • Continually develop domain expertise in genomics from a scientific, clinical and technical standpoint and lend insights to cross-functional teams to further the development of our products and strategy., • Maintain availability to the wider FMI business for clinical development expertise, presenting information and evidence to scientific, medical legal, commercial or other stakeholders as appropriate, • Maintain and deepen disease area-specific clinical and data science expertise, • Begin to build awareness of biomarker and product development and department and business strategy and evaluate strategic alignment and priority of new projects with guidance., • Other duties as assigned. Qualifications: Basic Qualifications: • Bachelor’s degree + 4 years related work experience, OR, • Master’s Degree in life sciences and 2+ year(s) of experience in clinical outcomes and/or genomics in an academic or life sciences industry setting, OR, • Doctorate Degree or Ph.D. in a life sciences or data science, • Proficiency with one or more script languages (Python, Perl, etc.) and statistical software package (R, SAS) Preferred Qualifications:, • Expertise in translational research linking genomic biomarkers with clinical outcomes, • Experience with biomedical data analysis (genomics data, clinical outcomes, real-world data, liquid biopsy, RNA and protein expression), • Experience with communicating with academic scientists and treating physicians, • Track record of taking projects from concept to completion, • Lead-authored publications, and demonstrated excellence in writing, • Ability to work independently as well as collaborate and communicate effectively with cross-functional teams, • Knowledge of oncology, next-generation sequencing, clinical trials, and/or companion diagnostics., • Demonstrated ability to successfully manage multiple concurrent projects in a fast-paced, dynamic environment, • Excellent organizational skills and meticulous attention to detail, • Extremely high level of integrity and reliability, • Excellent presentation skills, • Willingness to adhere to all applicable FMI Standard Operating Procedures, policies, processes, and compliance guidelines, • Understanding of HIPAA and the importance of patient data privacy, • Commitment to FMIs values: integrity, courage, and passion The expected salary range for this position based on the primary location of Boston, MA is $113,000 - $135,000 per year. The salary range is commensurate with Foundation Medicine’s compensation practice and considers factors including, but not limited to, education, training, experience, external market conditions, criticality of role, and internal equity. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for Foundation Medicine's benefits. #LI-Hybrid

About the Job The Scientist I, Assay Development, supports reagent implementation activities for new or existing FMI next-generation sequencing (NGS) based assays in our clinical labs. Leveraging a working knowledge of NGS / molecular biology reagents, this position collaborates with internal and external partners on defining technical and quality specifications for critical materials. The Scientist I works independently on drafting documentation in support of implementation of reagents within a Quality Management System. This role interacts with reagent vendors by email and in-person meetings. The role may require execution of NGS workflows / wet lab testing in response to troubleshooting or root-cause investigations. Additionally, the Scientist I evaluates and summarizes results, contributes to reports, presents data, and remains up-to-date with current reagent technologies relative to new methods and techniques within relevant areas of research to leverage and integrate these. Key Responsibilities • Independently execute specialized and complex molecular biology techniques, including NGS workflows., • Collaborate with molecular biologists, computational scientists and regulatory scientists to support the implementation of new reagents and materials for use in NGS diagnostic assays., • Design and conduct required feasibility, development and validation work, as well as, help to draft standard operating protocols., • Operate complex laboratory equipment such as laboratory automation equipment., • Utilize data analysis interpretation and troubleshooting to identify methods to optimize assay features., • Author detailed, accurate, and accessible records for new materials/product specifications within the Quality Management System as needed., • Prepare reports and presentations to communicate results in group meetings., • Train and mentor research assistants and/or research associates on optimal processes and standard operating procedures., • Other duties as assigned. Qualifications: Basic Qualifications: • Bachelor’s Degree in Molecular Biology or a related life science fields and 6+ years of experience, • OR, • Master's Degree in Molecular Biology or a related life science field and 2+ years of experience, • OR, • PhD and 0 years of experience Preferred Qualifications:, • Advanced Degree (Master’s Degree+) in Molecular Biology or a related life science field, • Extensive experience with molecular biology techniques and an understanding of the practices and principals of NGS, including DNA-seq, NGS library preparation and target-enrichment, • Knowledgeable with Quality Control workflows, testing and material specifications for critical reagents and materials to be used in diagnostic assays, • Experience authoring documentation under design control within a regulated Quality Management System (e.g., ISO 13485), • Experience developing, implementing and supporting high complexity clinical assays, • Experience within the following regulated environments: Food and Drug Administration – Quality System Regulation, Clinical Laboratory Improvements Amendments, International Organization for Standardization and CAP, and in writing standard operating procedures, validation protocols and data reports within these environments, • A “results-oriented attitude”, demonstrated through a history of meeting individual and collaborative project deadlines, • Scientific thought process and understanding of assay parameters illustrating approaches to problem solving to inform assay troubleshooting and or optimization., • Good interpersonal skills that include excellence in written communication, oral communication, collaboration, and problem solving with other departments and colleagues, • Understanding of HIPAA and the importance of patient data privacy, • Commitment to reflect FMI’s values: Integrity, Courage and Passion The expected salary range for this position based on the primary location of Boston, MA is $102,000 - $124,000 per year. The salary range is commensurate with Foundation Medicines compensation practice and considers factors including, but not limited to, education, training, experience, external market conditions, criticality of role, and internal equity. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for Foundation Medicine's benefits. #LI-Onsite

About the Job The Scientist I, Diagnostic Development & Validation role supports the full product development lifecycle, from concept through commercial launch, of new Next Generation Sequencing (NGS)-based assays under 21 CFR part 820 Quality System Regulations (QSR) Design Control. The position contributes to laboratory and documentation activities in collaboration with a cross-functional team to verify and validate product requirements, assay design, and assay performance. The position also performs validation test planning as well as hands-on execution in the laboratory. Regular onsite work at a designated FMI location is an essential function of this role. Key Responsibilities • Prepare and handle biological specimens including blood, plasma, formalin-fixed paraffin-embedded samples, and extracted nucleic acids., • Execute development, verification, and validation studies for novel diagnostic NGS assays., • Process and manage samples using automated workflows and Laboratory Information Management System (LIMS)., • Lead training and performance qualification testing during technology transfer between the product development and laboratory operations teams., • Author Performance Qualification (PQ) and Process Performance Qualification (PPQ) study protocols., • Author detailed, accurate, and accessible records of experimental data, present results at group meetings, to external collaborators, and preparation of reports for submission to regulatory agencies (FDA)., • Analyze and compile data for preparation of study reports and generate study reports., • Prepare and organize study reagents., • Prepare and document design control documentation, CDx assay requirements, functional specifications, performance and study results, and other data in a QSR-compliant manner., • Partner collaboratively with the Quality Assurance and Regulatory teams to ensure that all procedural and submission documentation meets audit and accreditation standards., • Establish and validate performance parameters, quality control, and stability specifications for critical reagents., • Support the timely processing and reporting of oncology samples to internal and external collaborators., • Conduct investigations and analyses to troubleshoot and improving assay capabilities, enhance technical robustness and existing methods., • Other duties as assigned. Qualifications: Basic Qualifications: • Bachelor’s Degree in a life science, • 2+ years of directly related industry experience Preferred Qualifications:, • Ability to work in a laboratory environment where chemicals and regents are present, • PhD in Molecular Biology, Biochemistry, Genetics or Cancer Genetics, • Current California Clinical Laboratory Science or Clinical Molecular Biology license, • Experience with molecular biology techniques and an understanding of the practices and principals of NGS, including DNA-seq and target-enrichment, • Experience in the development and/or implementation of genomic assays in a regulated environment including writing standard operating procedures, validation protocols and reports, • Experience with robotic liquid handlers, lab automation and instrumentation (especially Hamilton), • Experience developing, implementing and supporting high complexity clinical assays in a regulated environment (such as with Food and Drug Administration-QSR, Clinical Laboratory Improvement Amendments, College of American Pathologists, and International Organization for Standardization regulations), • Experience writing standard operating procedures (SOPs) validation protocols and data reports, • Track record of successfully managing multiple concurrent initiatives and maintaining one’s own workflow with timely completion ahead of deadlines, • Demonstrated ability to work in a dynamic, fast paced team environment, • Strong cross-functional collaboration and problem solving skills, • Understanding of HIPAA and the importance of privacy of patient data, • Ability to work well under pressure while maintaining a professional demeanor #LI-Hybrid

Shift: Monday through Friday, 8:00AM - 5:00PM Are you ready to work making the world a safer, healthier place? Join our mission to continuously move science forward; to innovate and advance all aspects of our business to improve the health and safety of our communities and lives. Description: • The Scientist will operate LC and LCMS instrumentation and support laboratory activities focused on characterizing tRNArelated substances. The role requires the ability to execute experiments and generate highquality data. A successful candidate will be able to quickly learn and independently operate instruments following training while contributing to efficient and reliable data acquisition. Compensation: $90,000.00 - 97,000.00 per year Responsibilities: • Operate and maintain LC and LCMS instrumentation to support accurate and timely data acquisition, • Perform laboratory analyses to characterize tRNArelated substances using established protocols, • Execute experiments focused on oligonucleotide analysis utilizing LC and highresolution mass spectrometry, • Interpret and document experimental results, ensuring data quality and integrity, • Apply foundational knowledge of analytical techniques to troubleshoot and optimize methods, • Follow training to independently operate instruments and carry out routine and non-routine analyses, • Collaborate with internal teams to support project goals and meet research timelines Requirements: • Bachelor's or Master's degree in Chemistry, Biology, or related field, • 2-4 years of experience in a laboratory setting, • Excellent organizational, attention to detail, and communication skills., • Ableto handle multiple projects concurrently, self-motivated, and results driven, • Proficiency in Office 365 and other software preferred Find Your Place at Pace - We need you - your curiosity, your talents, and your drive - to help us advance this important work. Benefits When you join Pace, you commit to work that makes a positive impact on our communities and our world. We commit to supporting you with benefits and perks that make a positive impact on your life. Full-time roles are eligible for our comprehensive benefits program which includes competitive salaries, medical, dental vision, 401K retirement savings plan (100% vested immediately in the employer match), life, disability and voluntary benefits, paid time off for holiday, sick and vacation days, HSA, wellness program, flexible spending accounts, tuition reimbursement, Employee Assistance program, parental leave, optional legal coverage and ID theft. Equal Opportunity Employer Pace provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, creed, color, religion, genetics, protected veteran status, national origin, sex, age, disability, marital status, sexual orientation, gender identity or expression, citizenship, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Placement Type: Permanent Salary: $180,000-200,000 Salary Start Date: Mar 30, 2026 Lead Data Scientist, Autonomous Goal Management Job Type: Permanent / Full-Time Department: Enterprise AI Location: 100% Remote Sponsorship: Available for exceptional candidates About the Role We are seeking a highly experienced Lead Data Scientist to join our Enterprise AI organization and lead the development of advanced capabilities in autonomous goal management and agentic AI systems. This is a high-impact individual contributor leadership role responsible for architecting and delivering production-grade AI systems that leverage Reinforcement Learning (RL) to enable intelligent agents capable of dynamic planning, autonomous decision-making, and goal decomposition in complex enterprise environments. The ideal candidate has a proven track record of taking RL-driven agentic AI solutions from proof-of-concept to production, particularly within regulated industries such as healthcare, finance, defense, or aerospace. This role requires both deep technical expertise and the ability to drive initiatives with minimal supervision, collaborate cross-functionally, and mentor junior scientists within a fast-moving AI organization. Key Responsibilities • Lead the design and development of autonomous goal management frameworks for enterprise AI systems, • Build and deploy production-ready Reinforcement Learning solutions for agentic AI applications, • Architect dynamic planning and execution systems that support autonomous agents in complex workflows, • Design goal decomposition, task orchestration, and adaptive decision frameworks, • Develop robust evaluation, monitoring, and safety protocols to ensure agent reliability and alignment with business objectives, • Translate cutting-edge AI/ML research into scalable production systems, • Partner cross-functionally with data science, software engineering, product, and business stakeholders, • Drive technical direction and decision-making with minimal hand-holding, • Mentor junior data scientists and provide technical leadership across projects, • Facilitate alignment across teams on architecture, implementation, and delivery strategy, • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or related field, • 4+ years of experience in AI/ML research, data science, or ML engineering, • 2+ years leading advanced AI/ML systems or serving in a technical lead capacity, • Demonstrated experience applying Reinforcement Learning to agentic AI systems in production, • Proven success moving AI solutions from research prototype / POC to live production environments, • Strong expertise in autonomous goal management and dynamic planning systems, • Advanced Python programming skills, • Strong hands-on experience with core ML frameworks such as:, • PyTorch, • JAX, • TensorFlow (preferred but optional), • Experience with:, • Model-based RL, • Symbolic planning, • Causal reasoning, • Agent orchestration frameworks (e.g. LangChain, custom agent frameworks), • Experience designing scalable ML pipelines and production infrastructure, • Experience within regulated industries, especially healthcare, finance, defense, or aerospace, • Experience building safe and reliable autonomous systems, • Familiarity with enterprise-scale ETL and high-performance ML systems, • Experience with multi-agent systems and hierarchical planning frameworks This role is ideal for a highly autonomous technical leader who thrives in collaborative environments. Success in this position requires: • Strong cross-functional communication, • Ability to influence stakeholders across technical and non-technical teams, • Comfort receiving and incorporating constructive feedback, • Conflict mitigation and consensus-building skills What Success Looks Like In this role, you will: • Build enterprise-grade agentic AI capabilities, • Establish frameworks for autonomous decision-making and planning, • Lead the productionization of advanced RL systems, • Drive measurable business impact through intelligent automation, • Help shape the future direction of Enterprise AI initiatives #LI-LB2

Job Title: Scientist I Location: Waltham, MA; 02451 Duration: 12 months 8-person team, working standard 9-5 hours with some schedule flexibility and no planned overtime. Notes: The scientist will support protein and LC-MS-based analyses, with a strong focus on mass spectrometry, chromatography, and biological sample preparation. Daily work includes end-to-end digest workflow execution, optimization experiments, operating nano-LC and mass spectrometry platforms, monitoring instruments, running impurity and enzyme kinetic assays, and utilizing a mix of manual and automated liquid handling systems. The role also requires data analysis, experiment design based on team feedback, and clear communication of results through summaries and PowerPoint presentations. Ideal candidates hold a Master's degree in Analytical Chemistry, Biochemistry, or a related field with 2-4 years of relevant biotech or pharma experience (or a PhD with 1-3 years), particularly with LC-MS impurity monitoring or proteomics/HCP profiling, and have experience with software such as Discover, Skyline, or similar peptide mapping tools. The position starts ASAP (with potential extension after 12 months) Description: The Client is seeking a highly motivated Scientist to join theBioAnalytics Characterization group within the Genomic Medicine Unit BioAnalytics. The Genomic Medicine Unit at Client's is dedicated to the establishment of best-in-class platforms to support development of life-changing advanced gene therapy products, including recombinant AAV vectors and lipid nanoparticles. The BioAnalytics Characterization group uses advanced analytical techniques for in-depth structural and functional characterization of gene therapy products in support of drug development, from pre-candidate selection through commercialization. This role is predominantly wet-lab involving sample processing and complex instrumentation operation for LC-MS analysis. As the Client BioA supports CMC, a successful candidate should have familiarity working within a regulated environment, documenting analyses in ELN and an understanding of drug development life cycle. Key Responsibilities • Perform characterization testing of gene therapy samples to determine and quantify host cell proteins using solid-phase enhanced sample preparation and LC-MS analytical techniques commonly used in proteomics (i.e. proteomic profiling using DDA or DIA, targeted quantitation using MRM or PRM). Basic Qualifications • Strong theoretical understanding of macromolecules (e.g., DNA, RNA, proteins) and their chemical properties. Preferred Qualifications • LC-MS systems: ThermoOrbitrap Exploris/Eclipse/Fusion Lumos/Astral; Sciex LCMS Triple Quad 6500., • Software: Skyline, Proteome Discoverer, Byos, Spectronaut., • Practical, hands-on troubleshooting and programming experience with automation equipment, such as Agilent Bravo LT, Hamilton, Andrew+ or KingFisher., • Gene therapy experience with AAV or LNP is preferred

Job Title: Scientist Location: Cambridge, MA Duration: 18 months Schedule: on-site Standard business hours (8 AM - 5 PM preferred) Ideal Candidate The ideal candidate will have a Master's degree or PhD in bioinformatics, computational biology, genomics, or a related discipline and will be comfortable supporting established bioinformatics workflows in a highly operational environment. This person should have experience working with computational pipelines, metadata handling, and QC-focused support work. Familiarity with UNIX/Linux infrastructure and some Python exposure are preferred. Benchling experience is helpful but not required. The team is looking for someone highly detail-oriented, organized, and reliable who can independently execute routine computational and metadata management tasks with consistency and accuracy. Strong candidates will be comfortable supporting established workflows rather than focusing solely on novel pipeline development or research ownership. Candidates local to the Cambridge/AMA area who can support an on-site schedule and commit to the full assignment duration will be strongly preferred. TD&B-Discovery Genomics This Contract Scientist will report to a Principal Scientist in the Discovery Genomics team of Target Discovery & Biology (TD&B). This role will support higher throughput, improved data management, and faster turnaround for projects analyzed within the TD&B group. What you will do: • Support routine computational analysis of functional genomics and transcriptomics datasets using established internal pipelines and reporting systems., • Assist with experimental registration, source sample tracking, and data management for NGS-based workflows to ensure data retention, visibility, and accessibility., • Manage workflow and data entry in Benchling OEMS for pooled gene perturbation, amplicon-seq, bulk RNA-seq, and related NGS experiments., • Process pooled genomic perturbation screen data, including raw FASTQ files, using established NextFlow pipelines and internal gene-edited reporting systems., • Support future arrayed perturbation screening efforts by running established analytical pipelines once developed and implemented., • Process Perturb-seq datasets by converting raw FASTQ files into count tables using established Cell Ranger workflows., • Support bulk RNA-seq routine by downloading data from CROs, processing samples through the internal bulk RNA-seq pipeline and generating reports using established RNA-seq reporting workflows., • Assist with transcriptomic assessment of edited clones using existing analysis pipelines., • Partner closely with the manager and TD&B team members to prioritize analyses, troubleshoot routine issues, and ensure timely project completion., • Maintain organized records of analyses, inputs, outputs, and reports to support reproducibility, data integrity, and downstream interpretation. Top 3 Must Have Skills: • Ability to run established computational workflows and pipelines, • Diligence and organization for metadata entry, • Ability to execute on a list of tasks without close supervision Basic Qualifications: • Doctorate degree OR, • Masters degree and 2 years of experience OR, • Bachelors degree and 4 years of experience Preferred Qualifications: • Degree or experience in bioinformatics, computational biology, genomics, genetics, biology, data science, or related discipline., • Familiarity with NGS data types, including pooled gene perturbation screens, bulk RNA-seq, amplicon-seq, Perturb-seq, or other functional genomics workflows., • Experience running established computational pipelines and working with structured data outputs., • Familiarity with sequencing file formats and analysis outputs, including FASTQ files, count matrices, and standard NGS reports., • Experience with Benchling, sample tracking systems, or other experimental registration/data management platforms., • Experience working in Unix/Linux environments and cloud-based computing platforms, including AWS, is preferred., • Basic programming or scripting experience in R, Python, or shell scripting is preferred., • Strong attention to detail and commitment to data integrity, reproducibility, and documentation., • Ability to work independently on routine analyses while communicating regularly with the manager and project teams., • Strong written and verbal communication skills, with the ability to collaborate effectively in a cross-functional research environment. Possible Extension: • Yes Red Flags: • Excessive job hopping, • Candidates appearing significantly overqualified and unlikely to stay long-term, • Lack of demonstrated detail orientation or workflow ownership, • Candidates solely focused on rapid promotion/transition Interview Process: • An initial panel of phone screening followed by a panel of interviews for a select few candidates.

Position Title: Scientist III, Cellular Biology and Automation Length of Contract: 6 months Location/Site: 200 Sidney st. Cambridge MA - 100% on-site What are the top 3-5 skills, experience or education required for this position: • BS, MS in cell biology, molecular biology, biochemistry, or equivalent, with 5+ years of experience., • Experience within cellular models for drug discovery. Experience with neural or microglial models preferred., • Experience with primary, iPSC, complex cell models, and immortalized cell culture., • Expertise and interest in cell biology and assay development, • Also preferred is industrial experience in early drug discovery including the identification of small molecules and/or biologic reagents, to validate targets and as leads toward the identification of human clinical candidates. Description In this position you will design and perform both routine and complex cell culture work to contribute to research in drug discovery to treat neurological diseases. Using both manual and automated means, you will collaborate with other scientists to develop iPSC derived cellular models, and prepare materials for in vitro research work. Microfluidic cell cloning, CRISPR, cell line generation, and protein analysis are other responsibilities. Automating these processes using advanced robotics will be a key goal and responsibility. Identifying and evaluating new technologies and methods will also be a component of the successful candidate's responsibilities. Key Responsibilities Include • Scaleup and maintenance of cultured cells by automated and manual means, • Scaleup and maintenance of immortalized cell lines, • Tracking and distribution of fresh and cryopreserved cell resources to collaborators, • Adaptation of cell culture methods to lab automation, • Collaborate with groups within and beyond Discovery Neuroscience at both the Cambridge Research Center and other sites, requiring a full understanding of the uses to which cultured materials will be put, • Collaborate on method development for differentiation of iPS cells to models of neurological disease, • Derivation and characterization of CRISPR KO pools and clones, • Help maintain cell line inventory system, • Proactively monitor new external developments in cell culture and automation, and incorporate this into individual projects, • Understand and adhere to corporate standards regarding code of conduct, safety, appropriate handling of materials, etc. Qualifications Required Skills and Educational Requirements: Basic: • BS, MS in cell biology, molecular biology, biochemistry, or equivalent, with 5+ years of experience., • Experience within cellular models for drug discovery. Experience with neural or microglial models preferred., • Experience with primary, iPSC, complex cell models, and immortalized cell culture., • Expertise and interest in cell biology and assay development, • The successful candidate must be highly collaborative, enjoying a dynamic, multi-disciplinary project team environment. Desired Skills: • Preference will be given to candidates with expertise in the use of automated cell culture robotic hardware and software, particularly the Sartorius CompacT SelecT. Training or interest in software and hardware engineering is a plus., • Experience with basic molecular biology, protein characterization, ICC, transfection/transduction of mammalian cells, • Also preferred is industrial experience in early drug discovery including the identification of small molecules and/or biologic reagents, to validate targets and as leads toward the identification of human clinical candidates.

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As a Data Scientist at Trella, you will:.

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