About Formation Bio
At Formation Bio, we are building the pharma company of the future , redefining drug development with our proprietary, tech-driven platform, focused on bringing new treatments to patients faster and more efficiently.At Formation Bio we license clinical stage drug assets and develop them in-house using our proprietary, technology-driven platform. Over the past few years, we have been able to significantly expedite the drug development process, evidenced by our acceleration of over 300 clinical trials and reducing trial durations by up to 50%.
This innovation translates to getting life-saving drugs to market 1-3 years faster, where we specialize in partnering with and nurturing in-house clinical-stage drugs. To help further realize this vision, we have entered into a first-of-its-kind collaboration with OpenAI and Sanofi, focused on building AI-powered software to accelerate drug development and bring new medicines to patients more efficiently. Our diverse team of experts come from across multiple industries, combining the best of tech and pharma talent. Join our culture of innovation where your work directly contributes to transforming patient care in areas such as rheumatology, dermatology, CNS, and cardiometabolic diseases.
Our dynamic environment blends advanced technology with strategic drug development, speeding up the delivery of new treatments. Here, every role plays a part in our mission to bring new treatments to patients faster and more efficiently.
About the Position
Formation Bio is seeking a highly skilled and experienced Senior Data Science Directorto join our dynamic team. This critical role will report to the head of Biometrics and will be responsible for leading and developing our data science team and strategy, driving impactful data-driven initiatives, and leveraging data to advance our drug development processes. We aim to build integrated predictive modeling capabilities, including for toxicology and efficacy, to significantly improve drug development efficiency and increase the probability of success.
Responsibilities
- Leadership and Team Development:
- Build and lead a high-performing data science team.
- Mentor and develop team members, fostering a culture of innovation and collaboration.
- Define and implement the data science strategy in alignment with company objectives.
- Strategic Data Utilization:
- Develop and execute strategies to maximize the value of data.
- Promote and integrate predictive analytics and advanced data science techniques into the drug development processes.
- Technical Guidance and Innovation:
- Provide deep technical expertise and mentorship to the data science team.
- Ensure the adoption of cutting-edge analytical methods and technologies.
- Drive the development and deployment of machine learning models and AI solutions in collaborations with internal tech teams.
- Cross-Functional Collaboration:
- Work closely with development and tech teams to facilitate data-driven decision-making.
- Collaborate with internal and external stakeholders to stay updated on emerging trends and technologies in data science.
- Data Governance and Quality:
- Ensure data quality, integrity, and security.
- Establish best practices for data management and analytics.
- Project Management:
- Drive end-to-end data science projects, ensure timely delivery and high impact.
- Manage stakeholder expectations and communicate complex data science concepts to non-technical audiences.
About You
- Education:
- PhD in Data Science, Computer Science, Statistics, Mathematics, Life Sciences or a related field.
- Experience:
- 8+ years of experience in data science or related disciplines within the pharmaceutical industry, particularly in drug discovery and development.
- Proven experience in leading and managing data science teams.
- Strong track record of delivering impactful data science projects.
- Technical Skills:
- Drug Development Expertise: Excellent understanding of drug development processes, including preclinical and clinical stages, regulatory requirements, and the pharmaceutical industry's unique challenges and opportunities.
- Programming Proficiency: Advanced proficiency in programming languages such as Python, R, or Scala, with the ability to write clean, efficient, and scalable code.
- Machine Learning Expertise: Deep expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, including experience in developing, training, and deploying machine learning models.
- Big Data Technologies: Extensive experience with big data technologies such as Hadoop and Spark, including data processing, management, and analysis at scale.
- Analytical and Statistical Skills: Strong analytical and statistical skills, including knowledge of advanced statistical methods, data analysis techniques, and quantitative modeling.
- Data Management: Experience in data governance, data quality, data integrity, and data security best practices, ensuring robust data management processes.
- Technical Leadership: Proven ability to provide technical leadership and mentorship, guiding the team in adopting cutting-edge analytical methods and technologies.
- Preferred Qualifications:
- Proven experience in cultivating relationships and influencing across various functions to drive success.
- Demonstrated success in driving technology transformation by collaborating with multiple stakeholders to align with business objectives and achieve positive outcomes
- Possess a growth mindset and thrive in ambiguity
We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. We pay all employees competitively relative to the New York City market, regardless of their location. In compliance with NYC’s pay transparency law and in pursuit of pay equity and fairness, we publish salary ranges for all open roles at Formation Bio. The target salary range for this role is $280,000 - $350,000.
On top of base salary, we also offer equity, generous perks, location flexibility, and comprehensive benefits – learn more about them and our compensation philosophy here.
If this range doesn’t match your expectations, please still apply because we may have something else for you.
You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
