Data scientist jobs in Lawrence, MA

Job Title: Junior Data Engineer W2 candidates only We are on the lookout for engineers who are open to upskill to the exciting world of Data Engineering. This opportunity is for our client, a top tier insurance company and includes a 2-3 week online pre-employment training program (15 hours per week), conveniently scheduled after business hours. Participants who successfully complete the program will receive a $500 stipend. This is a fantastic chance to gain in demand skills, hands-on experience, and a pathway into a dynamic tech role.. Key Responsibilities: • Assist in the design and development of big data solutions using technologies such as Spark, Scala, AWS Glue, Lambda, SNS/SQS, and CloudWatch. • Develop applications primarily in Scala and Python with guidance from senior team members. • Write and optimize SQL queries, preferably with Redshift; experience with Snowflake is a plus. • Work on ETL/ELT processes and frameworks to ensure smooth data integration. • Participate in development tasks, including configuration, writing unit test cases, and testing support. • Help identify and troubleshoot defects and assist in root cause analysis during testing. • Support performance testing and production environment troubleshooting. • Collaborate with the team on best practices, including Git version control and CI/CD deployment processes. • Continuously learn and grow your skills in big data technologies and cloud platforms. Prerequisites: • Recent graduate with a degree in Computer Science, Information Technology, Engineering, or related fields. • Basic experience or coursework in Scala, Python, or other programming languages. • Familiarity with SQL and database concepts. • Understanding of ETL/ELT concepts is preferred. • Exposure to AWS cloud services (Glue, Lambda, SNS/SQS) is a plus but not mandatory. • Strong problem-solving skills and eagerness to learn. • Good communication and teamwork abilities. Selection Process & Training: • Online assessment and technical interview by Quintrix. • Client Interview(s). • 2-3 weeks of pre-employment online instructor-led training. Stipend paid during Training: • $500. Benefits: • 2 weeks of Paid Vacation. • Health Insurance including Vision and Dental. • Employee Assistance Program. • Dependent Care FSA. • Commuter Benefits. • Voluntary Life Insurance. • Relocation Reimbursement. Who is Quintrix? Quintrix is on a mission to help individuals develop their technology talent. We have helped hundreds of candidate's kick start their careers in tech. You will be “paid-to-learn”, qualifying you for a high paying tech job with one of our top employers. To learn more about our candidate experience go to *************************************

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company's future with cloud and data. For more information, visit ************ Data Engineer (HR Data warehousing exp) Boston, MA (3-4 days onsite a week) Key Responsibilities: Translate business needs into data modeling strategies and implement Snowflake data models to support HR analytics, KPIs, and reporting. Design, build, and maintain Snowflake objects including tables, views, and stored procedures. Develop and execute SQL or Python transformations, data mappings, cleansing, validation, and conversion processes. Establish and enforce data governance standards to ensure consistency, quality, and completeness of data assets. Manage technical metadata and documentation for data warehousing and migration efforts. Optimize performance of data transformation pipelines and monitor integration performance. Design, configure, and optimize integrations between Workday and third-party applications. Participate in system testing including unit, integration, and regression phases. Support data analysis needs throughout the implementation lifecycle. Required Experience & Skills: Experience with Snowflake or similar data warehouse platforms Strong SQL skills and experience with data transformation tools Experience with ETL processes and data validation techniques Understanding of HR data structures and relationships Excellent analytical and problem-solving abilities Experience with developing with Python Architecting a data warehousing solution leveraging data from Workday or other HRIS such as Workday to support advanced reporting and insights for an organization Preferred Experience & Skills: Experience in developing and supporting a data warehouse serving the HR domain Experience with data platforms where SCD Type 2 was required Experience with data visualization tools such as Tableau Experience with architecting or working with ELT technologies (such as DBT) and data architectures Understanding of HR processes, compliance requirements, and industry best practices Ness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law

Hybrid - Boston MA, Richmond VA, or McLean VA Long Term - Ex Capital one Required Skills & Experience 5-8+ years in backend or data engineering. PySpark & Python (expert level). AWS: Hands-on experience with Glue, Lambda, EC2; Step Functions preferred. Strong background in ETL/ELT and large-scale ingestion pipelines. Experience supporting accounting/reporting data flows or similar financial processes. Knowledge of secure file transfer, validation, audit, and compliance workflows. Solid understanding of distributed systems, CI/CD, and DevOps practices.

This role is with a Maris Financial Services Partner Boston, MA - Hybrid Role - We are targeting local candidates that can be in the Boston office 3 days per week. 12 Month + contract (or contract to hire, if desired) This team oversees critical systems including Snowflake, Tableau, and RDBMS technologies like SQL Server and Postgres. This role will focus on automating database deployments and creating efficient patterns and practices that enhance our data processing capabilities. Key Responsibilities: Design, enhance, and manage DataOps tools and services to support cloud initiatives. Develop and maintain scheduled workflows using Airflow. Create containerized applications for deployment with ECS, Fargate, and EKS. Build data pipelines to extract, transform, and load (ETL) data from various sources into Apache Kafka, ultimately feeding into Snowflake. Provide consultation for infrastructure projects to ensure alignment with technical architecture and end-user needs. Qualifications: Familiarity with Continuous Integration and Continuous Deployment (CI/CD) practices and tools. Understanding of application stack architectures (e.g., microservices), PaaS development, and AWS environments. Proficiency in scripting languages such as Bash. Experience with Python, Go, or C#. Hands-on experience with Terraform or other Infrastructure as Code (IaC) tools, such as CloudFormation. Preferred experience with Apache Kafka and Flink. Proven experience working with Kubernetes. Strong knowledge of Linux and Docker environments. Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to manage multiple tasks and projects concurrently. Expertise with SQL Server, Postgres, and Snowflake. In-depth experience with ETL/ELT processes.

Hi, this is Eric 👋 We're hiring a stellar Data Engineer to join our engineering org at Basil Systems. At Basil Systems, we're revolutionizing healthcare data access and insights for the life sciences industry. We've built powerful platforms that help pharmaceutical and medical device companies navigate complex regulatory landscapes, accelerate product development, and ultimately bring life-saving innovations to market faster. Our SaaS platforms transform disconnected data sources into actionable intelligence, empowering organizations to make data-driven decisions that improve patient outcomes and save lives. The Role We are seeking a Senior Data Engineer to own and advance the data infrastructure that powers our healthcare insights platform. As our engineering team scales and we expand our data capabilities, we need someone who can build reliable, scalable pipelines while ensuring data quality across increasingly complex regulatory sources. Key Responsibilities Design, build, and maintain robust ETL processes for healthcare regulatory data Integrate new data sources as we onboard customers and expand platform capabilities Optimize pipeline performance and reliability Ensure data accuracy and consistency across complex transformation workflows Qualifications 5+ years of professional experience as a data engineer or in a similar role Experience with Apache Spark and distributed computing Familiarity with common ML algorithms and their applications Knowledge of or willingness to learn and work with Generative AI technologies Experience with developing for distributed cloud platforms Experience with MongoDB / ElasticSearch and technologies like BigQuery Strong commitment to engineering best practices Nice-to-Haves Solid understanding of modern security practices, especially in healthcare data contexts Subject matter expertise in LifeSciences / Pharma / MedTech This role might not be for you if... You're a heavy process advocate and want enterprise-grade Scrum or rigid methodologies You have a need for perfect clarity before taking action You have a big company mindset What We Offer Competitive salary Health and vision benefits Attractive equity package Flexible work environment (remote-friendly) Opportunity to work on impactful projects that are helping bring life-saving medical products to market Be part of a mission-driven team solving real healthcare challenges at a critical scaling point Our Culture At Basil Systems, we value flexibility and support a distributed team. We actively employ and support remote team members across different geographies, allowing you to work when, where, and how you work best. We are committed to building a diverse, inclusive, and safe work environment for everyone. Our team is passionate about using technology to make a meaningful difference in healthcare. How to Apply If you're excited about this opportunity and believe you'd be a great fit for our team, please send your resume and a brief introduction to *****************************. Basil Systems is an equal opportunity employer. We welcome applicants of all backgrounds and experiences.

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 Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: * Data Curation & Validation * Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. * Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. * Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. * AI System Quality & Correctness * Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. * Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. * Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. * Strategy & Collaboration * Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: * Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. * Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. * Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. * AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. * Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: * Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). * Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). * Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. * Computational Focus: Experience as a Computational battery AI specialist.

Rapid7 is looking for an experienced and innovative Data Scientist to join our Revenue Operations team. This is a pivotal role focused on building sophisticated models and leveraging data science to drive smarter business decisions across our Go-to-Customer organization. You'll report to the Director of Revenue Operations Analytics and collaborate with sales, marketing, and customer success leaders to identify and act on opportunities for growth and efficiency. About the Team Revenue Operations Analytics is a new, high-impact team focused on leveraging data and advanced analytics to drive growth and efficiency across our Go-to-Customer organization. We serve as a strategic partner to our sales, finance, and customer success teams, providing the insights, models, and tools they need for accurate forecasting, both in-quarter and for strategic long-term planning. Our mission is to transform raw data into actionable intelligence that directly influences our revenue streams and GTM strategy. About the Role The ideal candidate is a highly skilled data scientist with a passion for applying advanced analytics to solve complex business problems. As a Lead Data Scientist , You will be responsible for building predictive models that directly impact our revenue streams and improve the effectiveness of our GTM teams. Specifically, your focus will be on: Account & Opportunity Scoring Models: Build and deploy sophisticated models to predict a customer's propensity to spend, identifying the ideal time to engage with expansion opportunities. You'll also develop opportunity scoring models to help our sales teams prioritize their pipeline and focus on the deals most likely to close. Customer and Renewal Analytics: Develop models to predict renewal risk, allowing our Customer Success teams to proactively engage with at-risk accounts. You will also analyze and segment our customer base to inform strategies for improved retention and engagement. Market and Whitespace Analysis: Utilize advanced analytics to quantify whitespace and total addressable market, providing strategic insights that guide our go-to-market planning and resource allocation. Data Strategy: Partner with our data engineering and business intelligence teams to ensure we have a robust and scalable data infrastructure. You will be a key stakeholder in defining our data strategy, ensuring we capture and leverage the right information to power our models. Stakeholder Communication: Translate complex analytical findings into clear, actionable recommendations for our business leaders. You will communicate insights through presentations, reports, and strategic decisions across dashboards, influencing the company. The skills and qualities you'll bring include: Experience: A minimum of 6+ years of experience in a data science role, preferably in revenue operations, sales operations, or a related field within a SaaS company. Technical Skills: Deep expertise in statistical modeling, machine learning, and predictive analytics. Familiarity with Random Forest and XGBoost algorithms is preferred. You'll also need strong proficiency in Python or R, and a solid understanding of SQL. Experience with data visualization tools like Tableau or PowerBI is a plus. Problem-Solving: Proven ability to apply data science methods to solve real-world business challenges and drive measurable results. You should be able to work independently to define a problem, build a solution, and communicate the impact. Business Acumen: A strong understanding of the sales lifecycle, go-to-market strategies, and revenue operations. You can connect your models to business outcomes and communicate their value to non-technical stakeholders. Collaboration: Excellent communication and interpersonal skills. You enjoy working in a fast-paced environment and collaborating with cross-functional teams. Core Value Embodiment: Embody our core values to foster a culture of excellence that drives meaningful impact and collective success. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope - just like we've been doing for the past 20 years. If you're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us. #LI-JC1 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or any other status protected by applicable national, federal, state or local law.

The Data Science team is responsible for managing all data analytics, reporting and algorithmic aspects for our client. The data science team is an integral part of every function in the life cycle of the company to provide product, tools, business support. As a data scientist you will work closely with architects, engineers, account managers and data scientists within and outside the company. You will be involved from pre-sales to support. You will work on next generation algorithms development and help measure, maintain and upgrade current business. Qualifications REQUIRED SKILLS Outstanding technical abilities with 5+ years of Scala, Java, or C/C++ development experience with statistical machine learning models Rounded business skills with the ability to understand customer business needs Ability to solve problems practically for clients and internal needs Excellent interpersonal skills with ability to communicate clearly and concisely with executives, engineers, account managers, sales, business partners and data scientists. Ability to respond to customer needs and meet deadlines with accurate work while under pressure Expected to build statistical, optimization and machine learning models followed by detailed pre-production out of sample validation and recommendation for a/b testing experiments with success criteria. Own complete life cycle from problem formulation to solution deployment and maintenance Excellent understanding of computer science fundamentals, data structures, and algorithms Have a strong mathematical background and have experience with modeling complex high dimensional problems Experience performing petabyte scale data analysis and developing meaningful visualizations Must be able to collaborate with architects, engineers, and data scientists within and outside the company. EXPERIENCE Proven to thrive in start up environments Experience defining and building web scale algorithms, reports and visualizations Must be organized, have an eye for detail, and be able to put ideas into a tangible form Ability to prioritize and manage work to critical project timelines in a fast-paced environment and the ability to develop new approaches to complex design problems Experience with developing production grade algorithms for the web scale Preferred - Ph.D. in Computer Science, Operations Research, Physics, Electrical Engineering, Mathematics or other quantitative fields. Experience with Spark, Kaplan, Breeze, map/reduce models a plus Experience modeling stochastic processes, Bayesian learning models, utility theory, game theory a plus Additional Information All your information will be kept confidential according to EEO guidelines.

Forward Deployed Data ScientistLocation: Boston, MA preferred, remote may be considered Type: Full-time Stage: Seed-stage AI StartupIndustry: B2B SaaS / Artificial IntelligencePlease Note: Due to requirements security requirements, this position is limited to U.S. citizens. All applicants must be able to provide proof of U.S. citizenship to be considered. As a Forward Deployed Data Scientist (FDDS) at Growth Signals, you'll work directly with enterprise customers to help them get real value from our GenAI platform. You'll be their primary technical partner, combining data science expertise with product knowledge and customer success to solve their toughest challenges. Key Responsibilities Work directly with customers: Partner with executives and operational teams to understand their business challenges and identify where our GenAI platform can have the biggest impact Act as the technical expert on our platform, translating business needs into agentic workflows and custom solutions Build and implement solutions: Integrate customer data sources and APIs into our platform's research agents and AI workspace Design and deploy custom LLM workflows and agents for analyzing complex customer data Develop and automate data science workflows tailored to each customer's needs Own the full implementation-from initial discovery through deployment and adoption Required Qualifications and Skills Technical skills: Master's degree with 3+ years of experience (including 1+ year client-facing) or Bachelor's degree with 6+ years of experience in data science, ML engineering, or technical consulting. SaaS experience is a plus. Strong data engineering skills (ETL, pipelines, cloud data warehousing) combined with data science fundamentals (modeling, statistics) Hands-on experience with LLMs-building solutions, prompt engineering, and working with GenAI frameworks Proficiency in Python and NoSQL databases (MongoDB) Experience with statistical modeling, machine learning, and model evaluation Familiarity with cloud platforms (Azure, AWS, or GCP) and production deployment practices Working style: Experience working with both technical and non-technical stakeholders Comfortable in an early-stage startup environment-you're self-directed and thrive with ambiguity Willing to travel up to 50% for on-site customer work Able to communicate technical concepts clearly to business audiences About Us We're building the future of AI-driven strategic innovation, and we're looking for people who are excited to join us at the ground floor. As a seed-stage B2B startup, we're on a mission to help teams accelerate discovery, validate concepts faster and scale impact across the organization, and we believe customer obsession is our unfair advantage. As an early member of our team, you'll shape how we engage, retain, and grow our product & customers. Our Culture We're builders, learners, and problem-solvers who take pride in delivering real value to our customers. We believe in fast feedback loops, radical transparency, and taking smart bets. If you're energized by ambiguity, thrive in startup chaos, and care deeply about helping customers succeed, we'd love to hear from you. Why Join Us Be one of the first 10-20 employees at a high-potential AI startup Shape not just your role, but how we build and scale Competitive salary + early-stage equity Flexible remote-first culture Opportunity to work directly with founders and shape product and customer strategy Build relationships with innovative customers solving hard problems with AI

ultrafocused - Work together to fearlessly uncover new possibilities The Sr Data Scientist, Manufacturing Science and Technology (MSAT) will provide technical leadership to support both early- and late-stage AAV GMP manufacturing at internal and contract gene therapy facilities. Reporting to the Sr. Director of MSAT, this role will focus on developing data management solutions to enable monitoring the ongoing GMP production and drive process improvements for future lifecycle management. The ideal candidate will bring a strong foundation in biologics/AAV process knowledge combined with statistical expertise. Success in this role requires a high degree of professionalism, cross-functional collaboration, and an innovative mindset. Work Model: Core Lab & Ops: This role typically requires that the majority of the work be conducted on-site. Responsibilities: * Build and implement the Continued Process Verification (CPV) framework for AAV programs, including online/offline data management solutions, data integrity verification process, statistical tools and predictive models to monitor and improve batch performance. * Establish and oversee systems for data collection, monitoring, and analysis systems for early and late-stage programs, ensuring compliance with 21 CFR Part 11 and alignment with regulatory expectations. * Develop and apply advanced statistical data modeling approaches (e.g., multivariate analysis, regression, machine learning techniques) to enable predictive modeling, deviation investigations and continuous improvement. * Support data review and report writing with data trending and statistical models, for proactively actionable recommendations * Support deviation investigations and tech transfer activities by leveraging statistical expertise to analyze historical data, and to set or revise in-process control limits. * Lead initiatives to develop platform process models (HEK vs. HeLa) across multiple GMP manufacturing sites to support proactive process monitoring; stay current with the AAV manufacturing technology innovations, and support implementation of process improvements for life cycle management. * Collaborate with Global CMC Development, external CDMOs, Manufacturing, Quality Assurance, Quality Control, and other stakeholders to enable robust CPV strategy execution. * Contribute to regulatory filings by authoring CPV-related content, responding to agency inquiries, and authoring sections of briefing books and submissions. * Author and maintain technical documentation, including CPV protocols and reports, statistical models, SOPs for data management, and lifecycle management protocols and reports. Requirements: * Master's degree in Virology, Molecular Biology, Genetics, Biochemistry, Chemical Engineering, Bioinformatics, Biostatistics or an equivalent discipline preferred * 5+ years in biopharma industry. Biologics, Gene / Cell therapy experience preferred * Understanding of biologics/AAV manufacturing process is required and experience in manufacturing technical support, process development, and/or MSAT roles is preferred * Demonstrated experience in data management, process modeling, and predictive analytics, preferred with GMP environment * Proficiency in biostatistics and data management tools (e.g., DOE, multivariate analysis, regression, Python/R/SAS). * Experience with regulatory filing is a plus * Proven ability to deliver results successfully, collaborating with multi-cultural and geographically diverse teams * Demonstrated ability to work in a team and in a fast-paced environment. Proven ability to independently manage multiple competing priorities, while working on multiple projects simultaneously * Excellent communication and presentation skills * May require up to 15% travel when necessary. #LI-CK1 #LI-Onsite

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. _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._ **PRIMARY DUTIES AND RESPONSIBILITIES:** + Meet and consult with scientists requiring data science support and design plans and solutions + Delivery of results for projects + Work as part of the broader team to identify longer-term solutions that will improve quality, + speed and efficacy of our current projects and programs + Evaluate and benchmark new libraries; prototype and pipeline development. + Deep data science skills, at the interface between computer science and statistics **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Excellent communication and effective problem-solving skills, track record in serving a variety of + Diverse customers and projects + Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. + Natural language processing experience preferred + Shiny, Spyre, Flask, WebDev and prototyping experience preferred + JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred + Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. + Significant scientific background with prior experience in clinical research **MINIMUM JOB QUALIFICATIONS:** + PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment + 5 to 8 years of experience post PhD + Prior experience supervising at least 1 person preferred **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) $133,700 - $138,000 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 committed to having faculty and staff that offer multifaceted experiences. 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**

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide. Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities. Job Description: Sun Life embraces a hybrid work model that balances in-office collaboration with the flexibility of virtual work. Internal candidates are not required to relocate near an office. The opportunity: The Senior Data Scientist provides advanced analytics support within the Business Analytics function that applies the power of data with machine learning to enhance risk-based decisions across the Health and Risk Solutions business. This team is expected to work closely with the other functional teams, in particular the Pricing, Underwriting, and Clinical teams. This position reports to the Director, Data Science within the Health and Risk Solutions business. Responsibilities include developing and monitoring predictive models to support our pricing, underwriting and clinical review processes, as well as supporting the implementation of these models. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes and bring in industry standard best practice on developing and maintaining MLOPS. How you will contribute: * Apply advanced data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization and data profiling. * Apply expertise with data wrangling, feature engineering, model training and model evaluation. * Ability to identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. * Align with best practices for data mining and modeling as set up by the team * Partners with key subject matter experts across various functional teams within the Health & Risk Solution business to help develop predictive modeling and analytic solutions based on understanding of business needs and opportunities. * Develop and maintain high-quality, robust predictive models using advanced analytic techniques * Extract and analyze internal and external data sources to help answer key business problems related to risk assessment. What you will bring with you: * Ability to work with a diverse range of people * 4-5 years of experience in developing and implementing data science techniques * BS/MS/PhD in a statistical, mathematical, or technical field (e.g., data science, computer science, actuarial science) * Experience with actuarial/pricing, underwriting or related concepts utilized in the health insurance field preferred. Experience with pricing/underwriting advanced analytics application within property & casualty insurance sector is welcomed. * Business knowledge of insurance sector preferred. * Strong communication skills, with an ability to explain technical concepts to a non-technical audience. * Attention to details and accuracy and clarity in communicating results and insights * Proactive ownership of problem solving with team members and subject matter experts * Experience with a broad range of statistical programming languages, applications and data environments (e.g., R, Python, SQL, Tableau) * Strong knowledge of data science including conditioning, modeling, integration and visualization * Strong knowledge of the fundamental statistical and AI underpinnings of data science * Commitment to data compliance, model governance and security protocols * Strong business acumen to understand why and how the work we do will impact our business stakeholders Salary: $97,400-$146,100 At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions. Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you! We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds. Life is brighter when you work at Sun Life At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities. We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email ************************* to request an accommodation. For applicants residing in California, please read our employee California Privacy Policy and Notice. We do not require or administer lie detector tests as a condition of employment or continued employment. Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Category: Advanced Analytics Posting End Date: 11/01/2026

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Who We Are FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world's top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations. At FTI Consulting, you'll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you'll be an integral part of a focused team where you can make a real impact. You'll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you. Are you ready to make your impact? About The Role Data Scientists on FTI's AI Build Team should have a pragmatic approach to problem-solving and be capable of developing end-to-end solutions that clients can rely on in production. They should be capable of challenging their own work and finding a balance between perfection and practicality. As a Senior Consultant on FTI's AI Build Team, you will provide guidance, leadership, and mentorship to junior members of the team, while simultaneously contributing to workstreams on larger projects. You will showcase your expertise across a number of technical areas including programming, AI/ML and best practices. What You'll Do * Data Management * Develop and oversee comprehensive ETL processes * Ideate and maintain functional relational databases * Structure and perform quality control procedures for data ingestion, querying, and usages * Data Analysis * Perform exploratory data analysis and render key insights through evidenced results * Execute data quality assessments * Illustrate material understandings through coherent data visualizations * Manage concurrent investigations into required datasets * Execute and tune statistical analyses * Modeling * Conduct necessary research for proof-of-concept model selection * Identify viable model features and apply appropriate normalizations * Appropriately log model parameters and metrics for comparison * Diligently optimize current processes and pipelines * Perform quality control and debugging assistance for junior data scientists * Actively work on MLOps design and implementation * Bring completed models to production * Communication * Frequently partner with internal and external stakeholders * Lead meetings with internal and external non-technical stakeholders to deliver insights * Outline objectives and track progress of junior data scientists How You'll Grow This is an excellent opportunity for a person with proven analytical experience to join a growing, dynamic team, and work on a variety of projects in a wide range of industries. Senior Consultants will have opportunities to collaborate laterally and vertically, internally, and externally, as well as lead and design projects through developing various approaches to complex issues. What You Will Need to Succeed Basic Qualifications * Bachelor's degree in Math, Physics, Computer Science, Statistics, or related field of study * 3+ years of post-graduate professional experience or Master's degree in Math Physics, ComputScience, Statistics, or related field of study with 2+ years of post-graduate professional experience * Ability to travel to clients and FTI office(s) * Technical Platform Requirements * Experience in the following computing language: Python * Experience in any of the following query languages: T/SQL, PL/SQL, and PL/pg SQL * Experience in the following version control language: Git * Experience in any of the following database platforms: Postgres, Databricks, Apache Spark, MSSQL, and Oracle * Experience in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy * Knowledge of MLOps related technologies for model lifecycle management * Knowledge of at least one development environment management framework: Docker, UV, Poetry * Technical Concept Requirements * Experience in any of the following AI/ML topics: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions * Experience in any of the following AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall * Experience in any of the following computer science concepts: Object Oriented Programming, Hashing, Space Complexity, and Parallel Processing (Multiprocessing) * Non-Technical Requirements * Experience in managing and ideating a proof-of-concept while leading the proceeding phases; Development, Testing, Deployment, and Maintenance * Experience in mentoring junior resources Preferred Qualifications * Technical Platform Requirements * Experience in any of the following on-demand cloud computer platforms: AWS, GCP, and Azure * Experience in GenAI related tools for workflow orchestration such as: LlamaIndex, LangChain, MCP, RAG * Experience in any of the following additional platforms related to MLOps: MLFlow, GitLab CI * Exposure to serving models: FastAPI, Flask #LI-TL1 Total Wellbeing Our goal is to support the wellbeing of you and your families-physically, emotionally, and financially. We offer comprehensive benefits such as the following: * Competitive total compensation, including bonus earning potential * Full package of benefits plans, including medical, dental, and vision coverage along with life and disability insurance * Generous paid time off and holidays * Company matched 401(k) retirement savings plan * Potential for flexible work arrangements * Generous paid parental leave with available planning tools, virtual expert coaching services and flex return support. * Family care benefits, including back-up child/elder care * Employee wellness platform * Employee recognition programs * Paid time off for volunteering in your community * Corporate matching for charitable donations most important to you * Make an impact in our communities through company sponsored pro bono work * Professional development and certification programs * Free in-office snacks and drinks * Free smartphone and cellular plan (if applicable) * FTI Perks & Discounts at retailers and businesses * Upscale offices close to public transportation About FTI Consulting FTI Consulting, Inc. is the leading global expert firm for organizations facing crisis and transformation, with more than 7,900 employees located in 32 countries and territories. Our broad and diverse bench of award-winning experts advise their clients when they are facing their most significant opportunities and challenges. The Company generated $3.7 billion in revenues during fiscal year 2024. In certain jurisdictions, FTI Consulting's services are provided through distinct legal entities that are separately capitalized and independently managed. FTI Consulting is publicly traded on the New York Stock Exchange. For more information, visit ********************* and connect with us on Instagram and LinkedIn. FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Compensation Disclosure: Actual compensation is determined based on a wide array of relevant factors including market considerations, business needs, and an individual's location, skills, level of experience, and qualifications. Additional Information * Job Family/Level: Op Level 2 - Senior Consultant * Citizenship Status Accepted: Not Applicable * Exempt or Non-Exempt?: Exempt Compensation * Minimum Pay: 69000 * Maximum Pay: 166000

Data Science Senior Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor in our Data Science team in Hopkinton, Massachusetts or Round Rock, Texas. What you'll achieve As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: * Solve business and customer issues utilizing AI/ML * Build prototypes and scalable AI/ML solutions that will be integrated into software products * Collaborate with software engineers, business stakeholders and product owners in an Agile environment * Have complete ownership of model outcomes and drive continuous improvement Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements * Proficient with writing sophisticated, clean, and object oriented Python code * Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression) with experience in ML model deployment * Ability to work with internal stakeholders to transfer business questions into data science problem statements * Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists * 5+ years of experience as a data scientist Desirable Requirements * Master's or PhD in a quantitative discipline. * Professional experience with LLM/Agentic technologies Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is $160,000 - $206,000. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

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 Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: Data Curation & Validation Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. AI System Quality & Correctness Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. Strategy & Collaboration Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. Computational Focus: Experience as a Computational battery AI specialist.

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Responsibilities PRIMARY DUTIES AND RESPONSIBILITIES: * Meet and consult with scientists requiring data science support and design plans and solutions * Delivery of results for projects * Work as part of the broader team to identify longer-term solutions that will improve quality, * speed and efficacy of our current projects and programs * Evaluate and benchmark new libraries; prototype and pipeline development. * Deep data science skills, at the interface between computer science and statistics KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: * Excellent communication and effective problem-solving skills, track record in serving a variety of * Diverse customers and projects * Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. * Natural language processing experience preferred * Shiny, Spyre, Flask, WebDev and prototyping experience preferred * JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred * Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. * Significant scientific background with prior experience in clinical research Qualifications MINIMUM JOB QUALIFICATIONS: * PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment * 5 to 8 years of experience post PhD * Prior experience supervising at least 1 person preferred 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) $133,700 - $138,000 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 committed to having faculty and staff that offer multifaceted experiences. 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

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************