Data Science Lead
5 days ago
Pfizer is seeking an experienced Data Science Lead to spearhead biopharmaceutical innovations. As a key member of the team, you will play a crucial role in driving data-driven insights and strategies that propel our business forward.
Job SummaryThe successful candidate will be responsible for leading cross-functional teams in deriving actionable insights from Pfizer's proprietary data and external sources. You will work closely with clinical statisticians, pharmacologists, medical development leads, and evidence teams to integrate AI/ML techniques into our portfolio under the guidance of the AQDS function head.
You will collaborate with Pfizer teams to leverage contemporary AI/ML methods (e.g., Causal AI, Generative AI, Digital Twins, Knowledge Graphs) across key therapeutic areas. Your expertise in building and leading cross-functional teams, project discovery, and implementation will drive stakeholder management at executive levels and foster a collaborative approach to problem-solving.
You will lead strategic external partnerships in India to advance data science, including collaborations with commercial partners, academic centers, government organizations, and non-profit institutions.
Key Responsibilities:
- Lead the AQDS organization in India, overseeing recruitment, resource management, guidance, and mentoring.
- Collaborate with key therapy areas to identify scientific problems, select and implement AI/ML methods, and convey modeling insights to clinical and operational teams.
- Review and supervise data collection/aggregation through model building and deployment to ensure robust performance for all predictive and classification algorithms.
- Participate as an AI/ML SME during regulatory interactions to clarify methodology, analysis results, and interpretation.
- Responsible for delivering AI/ML models and associated analytics designed to drive the interrogation of datasets for insights in scientific and operational application areas.
- Ensure Pfizer methodology remains current through knowledge sharing of new tools and/or vendors working in AI/ML.
- Utilize expertise in Clinical Development, including early through late-stage clinical trials, and knowledge of data, analytics, and AI to design valuable solutions, advise team members, stakeholders, and ensure implementation of practical approaches that achieve desired outcomes.
- Work across organizational lines to connect the dots across Clinical needs and help develop a cohesive strategy that serves those needs efficiently.
- Maintain an active external network in the life sciences AI/ML community to understand state-of-the-art capabilities and potential impacts to Pfizer's early to late development teams.
Basic Qualifications:
- At least 8 years of experience working in biopharmaceutical or tech companies in data science, with at least 3 years in a leadership role with gradually increasing responsibilities.
- Must have prior people management experience.
- Advanced degree in Computer Science, Computational Biology, Bioinformatics, Biostatistics, Applied Mathematics, Machine Learning, Operations Research, or Biomedical Engineering.
- Working knowledge of biomedical informatics, clinical/medical informatics, computational biology, and AI/ML.
- Understanding of biopharmaceutical clinical trial data and molecular biomarkers.
- Insights into the opportunities and challenges presented with applying AI/ML to business problems within the life sciences industry.
- Experience with translating customer needs into AI/ML solutions.
- Strong programming skills (Python, R, Julia).
- Experience with cloud technologies (AWS, Google, Azure).
- Strong written and verbal communication, interpersonal skills, and team-building ability.
Compensation: The estimated annual salary for this role is $250,000-$350,000, commensurate with experience.
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