
TalentAlly is a recruitment platform that connects diverse talent with inclusive employers, focusing on enhancing workplace diversity and inclusion. The company offers job postings, recruitment solutions, and organizes job fairs to facilitate employment opportunities for underrepresented groups. With a recent investment of $1.3 million in artificial intelligence, TalentAlly aims to improve job matching efficiency and expand its reach to diverse communities. Their business model includes premium job postings and partnerships with various organizations to enhance recruitment efforts.

TalentAlly is a recruitment platform that connects diverse talent with inclusive employers, focusing on enhancing workplace diversity and inclusion. The company offers job postings, recruitment solutions, and organizes job fairs to facilitate employment opportunities for underrepresented groups. With a recent investment of $1.3 million in artificial intelligence, TalentAlly aims to improve job matching efficiency and expand its reach to diverse communities. Their business model includes premium job postings and partnerships with various organizations to enhance recruitment efforts.
Job Title: Associate Director, Data Science - Market Access
Location: Cambridge, MA, Morristown, NJ
About the Jo
b
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 need
s.
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. Work collaboratively with matrix partners to manage the strategic attainment of product access and appropriate reimbursement at key customers by participating in and overseeing the negotiation process of financial terms, as well as documented terms and conditions, for assigned custome
**rs.
About San**
ofi:We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's li
**ves.
Main Responsibili**
ties:
As the Associate Director of Data Science, you will lead the development and delivery of advanced analytics solutions to support market access and pricing decisions. You will perform sophisticated analyses on patient longitudinal data, develop interactive dashboards and reports, and translate complex data into actionable insights for stakeholders. Your role will involve partnering with various departments to support strategic initiatives and leveraging analytics capabilities to enhance data-driven decision-making. Core responsibilities of the role are as fo
**lities
A**
**bout You
Ex**
perience:
5+ years of experience in data science or advanced analytics within Pharmaceutical or Payer org
anizations5+ years of hands-on experience building and deploying predictive models and machine learning solutions on large-scal
e datasetsDemonstrated experience working with workflow orchestration tools (Dagster, Airflow, or similar) to productionize analyti
cal modelsProven track record of translating business problems into data science solutions that drive measurabl
**evelopment
Techni**
**st practices
Doma**
in Knowledge:
Deep understanding of pharmaceutical market access, pricing strategies, and reimburs
ement dynamicsExperience analyzing longitudinal patient data, claims data, and form
ulary datasetsWorking knowledge of the US healthcare system, payer landscape, and regulato
ry environmentFamiliarity with healthcare data standards (e.g., NDC, HCPCS, ICD
codes, IQVI
A)
Soft Skills:
Exceptional problem-solving abilities with a structured, hypothesis
junior a n
alysts
Educatio
n:
BA or BS Deg
reeAdvanced De
gree
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, whether it's through a promotion or a lateral move, at hom
e or internationally.Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and a
mplifies your impact.Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks' gender-ne
utral parental leave.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteri
stic p
rotect
ed by law.
#GD
-SG#LI-GZ#LI-Onsite#vhdAll compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits informa
tion can be found here.PDN-a0df05ba-4bbe
-4cb1-b4cc-f68659ec02e4
e outcomesExperience collaborating with data engineering teams and contributing to data pipeline d
cal Skills:
Advanced proficiency in Python or R for statistical modeling, machine learning, and d
ata analysisExperience with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.) and predictive modelin
g techniquesHands-on experience with workflow orchestration platforms (Dagster, Airflow, Prefect,
or similar)Proficiency in SQL for complex data manipulation and working with relation
al databasesExpertise in data visualization tools (Tableau, Power BI, or similar) and creating executive-leve
l dashboardsExperience with cloud platforms (Kubernetes) and modern data stack
technologiesStrong foundation in statistical methods, experimental design, and
A/B testingUnderstanding of MLOps principles and model deployment be
-driven approachStrong communication skills with ability to translate complex technical concepts for non-techni
cal stakeholdersProven ability to manage multiple analytical projects simultaneously an
d meet deadlinesCollaborative mindset with experience working across data engineering, product management, an
d business teamsDetail-oriented with strong organizational and project managem
ent capabilitiesSelf-directed learner who stays current with emerging data science methodologies
and technologiesAbility to mentor and provide technical guidance to developers and