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Senior Data ScientistNorstella • United States
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Senior Data Scientist

Norstella
  • US
    United States
  • US
    United States
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Über

Senior Data Scientist
Company: Norstella
Location: Remote, United States
Date Posted: Jun 5, 2026
Employment Type: Full Time
Job ID: R-1924
Description
About Us
At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker—and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle —and get the right treatments to the right patients at the right time.
Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients:
Citeline – accelerate the drug development cycle
Evaluate – bring the right drugs to market
MMIT – identify barrier to patient access
Panalgo – turn data into insight faster
The Dedham Group – think strategically for specialty therapeutics
By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.
Job Summary
Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making.
Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development.
The Role:
In this role as a Senior Data Scientist, you will:
Collaborate with product partners and others to identify new opportunities to apply AI / ML to our content and products
Conduct research and identify AI / ML algorithms and methods to solve specific business problems
Implement rigorous testing and evaluation of potential solutions; review indicative results and proof-of-concepts with multi-disciplinary teams as part of customer-led product development
Deploy your solutions as production-grade microservices in collaboration with engineering and DevOps teams
Contribute towards common data science platforms and data assets
Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
All other duties, as assigned
As a senior-level scientist, you will primarily be responsible for one major release at a time with a high degree of individual ownership. While not all research leads to successful deployed systems, past successes have seen a general availability launch typically ~6 months from project start. Our solutions have used a wide range of approaches, including: agentic systems and model context protocol (MCP) servers, retrieval augmented generation (RAG), classical machine learning, knowledge graphs, and simply well-designed data transformations and business logic – our focus is on solving problems rather than the technology used.
Requirements:
Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience
5+ years of experience developing AI / ML applications and data driven solutions
Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc.
Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation
Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc.
Understanding of CS fundamentals, computational complexity, and algorithm design
Ability to engineer and deploy well-architected software packages
Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level
Experience mentoring junior team members
Preferred Qualifications:
Deep expertise in engineering agentic AI systems
Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data
Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage
Ability to prototype PoC webapps with familiarity across the full stack
Expert usage of AI coding tools and workflows
Benefits:
Medical and Prescription Drug Benefits
Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)
Dental & Vision Benefits
Basic Life and AD&D Benefits
401k Retirement Plan with Company Match
Company Paid Short & Long-Term Disability
Paid Parental Leave
Open Vacation Policy& Company Holidays
Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.
The expected base salary for this position ranges from $$170,000 to $215,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we’re just as excited about you.
All legitimate roles with Norstella will be posted on Norstella’s job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address:
[email protected]
Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
  • United States

Sprachkenntnisse

  • English
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