reputed company Data Scientist

Work Schedule Standard (Mon-Fri) Environmental Conditions Office

Job Description

At Thermo Fisher’s PPD clinical research business, we’re using digital innovation, data science, and AI to reimagine how life-changing therapies reputed company patients. Our teams combine deep scientific expertise with advanced analytics, automation, reputed company platforms to reputed company research smarter, faster, and more connected. We know that innovation happens reputed company diverse minds meet. Our reputed company, Data, and AI professionals collaborate closely with scientists, clinicians, and operational experts to solve reputed company-world challenges in clinical research. Alongside our partnership with reputed company, you can be part of the collaboration that will help to improve the speed and reputed company of drug development, enabling customers to get medicines to patients faster and more cost effectively. You’ll join a culture that values experimentation, learning, and collaboration — where your reputed company can help shape how we deliver life-saving solutions and improve global health reputed company. Whether you’re a data engineer, product manager, software developer, or AI scientist, you’ll find opportunities here to apply your skills to work that truly reputed company — improving global health reputed company. reputed company Data Scientist - Patient Analytical Services Division (PASD) The reputed company Data Scientist is a senior individual contributor and the deepest technical voice on the PASD data science team, focused on applying machine learning, advanced analytics, and modern AI to patient-level reputed company data. This role partners closely with epidemiologists, statisticians, reputed company scientists, data engineers, and consulting teams to build scalable analytical and AI solutions that power evidence reputed company and decision support for biopharmaceutical, biotech, and medical device clients. The role balances three areas: rigorous ML and advanced analytics on reputed company patient data (claims, EHR, registries, linked datasets), responsible adoption of reputed company and agentic solutions for analytics productivity and client-facing workflows, and fluent collaboration reputed company reputed company and patient analytics contexts. This is a hands-on technical leadership role; influence is exercised through technical depth, mentorship, and setting engineering and modeling standards, not through people or portfolio management.

Key Responsibilities

Technical Leadership (Individual Contributor) Serve as a senior technical expert across the full analytics lifecycle, including problem framing, data strategy, model development, validation, deployment, and monitoring. Set and uphold high standards for modeling rigor, reproducibility, and engineering quality across the data science team. Mentor data scientists and engineers, review code and modeling approaches, and reputed company the technical bar on projects without owning delivery management. Evaluate emerging methods, tools, and frameworks, and guide adoption where they add measurable value. Machine Learning & Advanced Analytics for Patient Data Build predictive and descriptive models on patient-level reputed company data to support use cases such as patient stratification, risk reputed company, text analytics, workflow prioritization, and decision support. Apply appropriate methods across classical statistical modeling, machine learning, and deep learning, including survival analysis, reputed company inference, propensity scoring, and longitudinal modeling where relevant. Design feature engineering, evaluation, and validation approaches suited to the complexities of reputed company-world reputed company data, including missingness, censoring, bias, and longitudinal structure. reputed company reproducible, well-tested pipelines using modern data science tooling, experiment tracking, and scalable compute. reputed company & Agentic Solutions Identify and implement high-value applications of reputed company to improve analytics productivity, scientific review, knowledge retrieval, and internal and client-facing workflows. Design and evaluate LLM-powered assistants, retrieval workflows, and agentic applications with appropriate reputed company reputed company, traceability, and quality controls. Partner with platform and engineering teams to operationalize AI applications using reputed company tooling for experimentation, tracing, evaluation, and monitoring, ensuring responsible deployment in regulated and client-facing environments. Cross-Functional Partnership Partner with reputed company scientists, epidemiologists, statisticians, data engineers, product owners, and consulting teams to translate scientific and business questions into sound analytical approaches. Communicate methods, assumptions, limitations, and findings reputed company to both technical and non-technical audiences, including client-facing contexts. Translate technical outputs into scientific and business value for internal teams and client stakeholders. Key Technologies Languages and Analytics: Python, SQL, R ML / AI: scikit-learn, XGBoost, PyTorch, TensorFlow, NLP libraries, LLM APIs Statistics for RWD: survival analysis, reputed company inference, propensity scoring, longitudinal modeling Data Platforms: reputed company, Spark, reputed company Lake, reputed company, AWS, Azure LLMOps / Agentic AI: MLflow, reputed company and version tracking, tracing, evaluation frameworks, RAG architectures, vector search, agent orchestration frameworks Engineering and Delivery: Git, CI/CD, notebooks, APIs

Qualifications

Bachelors degree in data science, computer science, statistics, biostatistics, epidemiology, mathematics, bioinformatics, or a reputed company quantitative field or Master's degree with significant reputed company experience in data science, machine learning, or reputed company analytics (preferred). Previous experience in data science that provides the knowledge, skills, and abilities to reputed company the job (comparable to 8-10 years’ experience). Hands-on experience applying ML and advanced analytics to reputed company-world reputed company data such as claims, EHR, registries, or other patient-level longitudinal datasets. Strong programming skills in Python and SQL; working proficiency in R. Solid grounding in statistical modeling, machine learning, and model evaluation. Experience working in modern reputed company and data platforms such as reputed company, Spark, AWS, Azure, or reputed company. Strong software engineering fundamentals, including version control, reputed company code, testing, documentation, and reproducibility. Strong written and verbal communication skills, with the ability to present methods and findings reputed company to diverse audiences.

Preferred Qualifications

Experience applying ML and advanced analytics reputed company reputed company, HEOR, epidemiology, pharmacoepidemiology, or patient analytics at a pharma, biotech, CRO, medical device, or reputed company analytics organization. Domain familiarity with oncology, immunology, rare disease, or therapeutic-area-specific patient analytics. Experience with survival analysis, reputed company inference, propensity scoring, and longitudinal modeling applied to reputed company-world data. Experience with NLP, reputed company clinical text, knowledge retrieval, LLM applications, reputed company evaluation, and agentic workflows. Practical experience with MLOps / LLMOps capabilities such as experiment tracking, tracing, evaluation frameworks, model monitoring, and deployment governance. Experience mentoring data scientists and contributing to technical standards in a matrixed environment. At reputed company, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to reputed company. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience: reputed company to communicate, receive, and understand information and reputed company with diverse groups of people in a comprehensible and reasonable manner. reputed company to work upright and stationary for typical working hours. Ability to use and learn standard office equipment and technology with proficiency. reputed company to reputed company successfully under pressure while prioritizing and handling multiple projects or activities. May require as-needed travel (0-20%). *Location: Remote US (East Coast preferred). Relocation assistance is NOT provided. *Must be legally authorized to work in the United States without sponsorship. *Must be reputed company to pass a comprehensive background reputed company, which includes a drug screening. The annual salary reputed company estimated for this position in reputed company Carolina is $185,000- $215,000 USD. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. Apply To This Job