Associate Director - Predictive Science & AI US Commercial
About this opportunity
About This Role:
As the Associate Director of Data Science & AI, you will spearhead the development and implementation of cutting-edge machine learning and AI solutions that drive data-driven decision-making across our U.S. Commercial organization. Collaborating closely with teams from Insights & Analytics, Enterprise Data Management, Information Technology, and Medical Affairs, you will create predictive models and analytical tools that provide actionable insights into patient populations and healthcare provider behaviors. With a strong background in biotech commercial operations and expertise in AI, you will deliver timely and innovative solutions that inform strategic decisions and accelerate commercial growth. Your leadership will be crucial in shaping the future of our data science initiatives and enhancing our impact on the healthcare industry.
This position is a Hybrid role with expectations of 3 days per week on campus in either Cambridge or RTP. This position can be based in either Cambridge, MA or RTP, NC. The pay range posted encompasses the pay range for both potential work locations. Actual pay will be determined by the selected candidate’s work location, as well as relevant experience and qualifications
What You’ll Do:
Lead the design, development, validation, and deployment of machine learning and predictive analytics solutions for the U.S. Commercial function.
Identify opportunities to leverage AI and advanced analytics to gain insights into patient populations, healthcare provider behavior, and commercial opportunities.
Establish and follow best practices for model development, monitoring, governance, and continuous improvement.
Develop advanced analytics and AI solutions to generate actionable insights into patient and provider behavior and treatment patterns.
Create predictive models supporting patient identification, treatment initiation, adherence, and provider engagement strategies.
Integrate and analyze claims, EHR, and commercial data to improve patient access and commercial effectiveness.
Partner with Commercial, Medical Affairs, and Insights & Analytics teams to translate insights into evidence-based business strategies.
Communicate complex analytical findings clearly to executive leadership and cross-functional teams.
Lead and mentor data scientists and analytics professionals, fostering a culture of innovation and continuous learning.
Manage external vendors and consulting partners as needed.
Operate effectively in a fast-paced, cross-functional environment, managing multiple initiatives with high-quality execution.
Who You Are:
You are a visionary leader with a passion for leveraging data science and AI to drive commercial success. Your deep understanding of the biotech industry, coupled with your technical expertise, allows you to develop innovative solutions that address complex challenges. You thrive in collaborative environments, where you can mentor others and foster a culture of continuous learning and innovation. Your ability to communicate complex ideas clearly and your knack for translating data insights into strategic actions make you an invaluable asset to any team.
Required Skills:
Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
8+ years of experience in data science, advanced analytics, or AI.
5+ years of experience supporting U.S. Commercial organizations within the pharmaceutical/biotechnology industry.
3+ years leading technical teams or large cross-functional initiatives.
Strong programming skills in Python and SQL.
Experience with Databricks, Snowflake, and Power BI.
Expertise in machine learning, statistical modeling, predictive analytics, and optimization techniques.
Knowledge of commercial pharmaceutical data sources such as IQVIA, Symphony Health, Veeva, Komodo, or claims and EHR datasets.
Excellent communication and stakeholder management skills.
Preferred Skills:
Familiarity with cloud-based data platforms and tools.
Experience in managing cross-functional projects in a matrixed organization.
Proven track record of driving business results through data-driven strategies.
Job Level: Management
Additional Information
The base compensation range for this role is: $164,000.00-$225,500.00
Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.
Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being ; including, but not limited to:
Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short- and Long-Term Disability insurance
A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation
Why Biogen?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 353 comparable Associate Director Data & Digital roles across 57 biopharma companies.
Salary context
135 of 353 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 353 comparable roles
+ 27 more countries
Seniority mix
353 of 353 peers have a known seniority level
Therapeutic area mix
17 of 353 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.