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For Companies At a Glance
- Tasks: Lead advanced analytics solutions to support market access and pricing decisions.
- Company: Join Sanofi, a pioneering biopharma company transforming patient care.
- Benefits: Competitive salary, health benefits, generous parental leave, and career growth opportunities.
- Why this job: Make a real impact on patients' lives through innovative data science.
- Qualifications: 5+ years in data science with strong skills in Python or R.
- Other info: Collaborative environment with a focus on diversity and inclusion.
The predicted salary is between 100000 - 145000 £ per year.
Location: Cambridge, MA, Morristown, NJ
About the Job
Join the team transforming care for people with immune challenges, rare diseases, cancers, and neurological conditions. In Specialty Care, you’ll help deliver breakthrough treatments that bring hope to patients with some of the highest unmet needs. Join Sanofi in one of our US Market Access Shared Services functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.
Main Responsibilities:
- Lead the development and delivery of advanced analytics solutions to support market access and pricing decisions.
- Perform sophisticated analyses on patient longitudinal data, develop interactive dashboards and reports, and translate complex data into actionable insights for stakeholders.
- Design, develop, and deploy predictive models and analytical solutions using Dagster/Airflow and DBT workflows.
- Hands-on experience with R and/or Python is required.
- Architect and maintain scalable datasets that integrate with existing data engineering infrastructure.
- Create interactive dashboards and reports using business intelligence tools.
- Perform advanced statistical analysis on patient longitudinal data and large customer datasets.
- Develop and implement machine learning algorithms to enhance forecasting capabilities.
- Collaborate closely with the data engineering team, SQL developers, and analytics product management.
- Serve as the technical bridge between data engineering infrastructure and business-facing analytics.
- Partner cross-functionally with various teams to drive strategic initiatives.
- Communicate complex analytical findings through compelling data narratives and visualizations.
- Continuously evaluate and implement emerging methodologies and technologies in data science.
About You
Experience:
- 5+ years of experience in data science or advanced analytics within Pharmaceutical or Payer organizations.
- 5+ years of hands-on experience building and deploying predictive models and machine learning solutions.
- Demonstrated experience working with workflow orchestration tools (Dagster, Airflow, or similar).
- Proven track record of translating business problems into data science solutions.
- Experience collaborating with data engineering teams.
Technical Skills:
- Advanced proficiency in Python or R for statistical modeling, machine learning, and data analysis.
- Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.).
- Hands-on experience with workflow orchestration platforms.
- Proficiency in SQL for complex data manipulation.
- Expertise in data visualization tools (Tableau, Power BI, or similar).
- Experience with cloud platforms (Kubernetes) and modern data stack technologies.
- Strong foundation in statistical methods, experimental design, and A/B testing.
- Understanding of MLOps principles and model deployment best practices.
Domain Knowledge:
- Deep understanding of pharmaceutical market access, pricing strategies, and reimbursement dynamics.
- Experience analyzing longitudinal patient data, claims data, and formulary datasets.
- Working knowledge of the US healthcare system, payer landscape, and regulatory environment.
- Familiarity with healthcare data standards (e.g., NDC, HCPCS, ICD codes, IQVIA).
Soft Skills:
- Exceptional problem-solving abilities with a structured, hypothesis-driven approach.
- Strong communication skills with ability to translate complex technical concepts for non-technical stakeholders.
- Proven ability to manage multiple analytical projects simultaneously.
- Collaborative mindset with experience working across teams.
- Detail-oriented with strong organizational and project management capabilities.
- Self-directed learner who stays current with emerging data science methodologies.
- Ability to mentor and provide technical guidance to developers and junior analysts.
Education:
- BA or BS Degree.
- Advanced Degree.
Why Choose Us?
Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career. Enjoy a thoughtful, well-crafted rewards package that recognises your contribution. Take good care of yourself and your family, with a wide range of health and wellbeing benefits.
Associate Director, Data Science - Market Access in Cambridge employer: Sanofi
Contact Detail:
Sanofi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Director, Data Science - Market Access in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to make those personal connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. We recommend using real-world examples from your experience to demonstrate how you’ve tackled challenges in data science. Remember, confidence is key!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. At StudySmarter, we encourage you to check out our website for openings that excite you. Tailor your approach to each company’s mission and culture.
✨Tip Number 4
Follow up after interviews! A simple thank-you email can go a long way in leaving a positive impression. We suggest reiterating your enthusiasm for the role and briefly mentioning how your skills align with their needs.
We think you need these skills to ace Associate Director, Data Science - Market Access in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate Director, Data Science role. Highlight your experience with predictive models and data analytics, especially in the pharmaceutical sector. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about market access and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: Don’t forget to highlight your technical prowess! Mention your experience with Python, R, and any workflow orchestration tools like Dagster or Airflow. We love seeing candidates who can bridge the gap between data engineering and analytics.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Sanofi
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python or R. Be ready to discuss your experience with predictive models and machine learning algorithms, as well as any specific projects you've worked on that relate to market access and pricing.
✨Understand the Market Access Landscape
Familiarise yourself with the pharmaceutical market access and pricing strategies. Knowing the ins and outs of reimbursement dynamics will help you demonstrate your understanding of the role and how you can contribute to the team.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex data insights to non-technical stakeholders, as this is crucial for driving strategic initiatives.
✨Prepare for Technical Questions
Expect technical questions about workflow orchestration tools like Dagster or Airflow, and be ready to discuss your experience with SQL and data visualisation tools. Practising these topics will help you feel more confident during the interview.
