Data Science Director- Predictive Analytics

Lantheus is headquartered in Bedford, Massachusetts with offices in Canada, and Sweden. For more than 60 years, Lantheus has been instrumental in pioneering the field of medical imaging and has helped physicians enhance patient care with its broad product portfolio.

Lantheus is an entrepreneurial, agile, growing organization that provides innovative diagnostics, targeted therapeutics, and artificial intelligence (AI) solutions that empower clinicians to find, fight and follow disease. At Lantheus our purpose and values guide our behaviors in all interactions and play a vital role in creating a dynamic environment that contributes to our success. Every employee is crucial to our success; we respect one another and act as one knowing that someone's health is in our hands. We believe in helping people be their best and are seeking to bring together a diverse group of individuals with different viewpoints and skill sets to be a part of a productive and inclusive team.

SUMMARY OF ROLE:

In this role, you will use your hands-on expertise in data science and machine learning to deliver valuable insights in the areas of oncology and neurology to inform strategy and decision making of the Commercial Leadership Team.

Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry

Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics. Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions. Interacts with internal and external peers and managers to exchange complex information related to areas of specialization

Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.

Use strong programming skills to explore, examine and interpret large volumes of data in various forms

S/he will be an ambassador for instilling our cultural values and influential in recruiting, retaining and developing talent to deliver better patient outcomes. It will also be the responsibility of this position to execute continued efforts towards enterprise resource planning to ensure long term sustainability of the business and improve our employee experience and productivity.

ESSENTIAL RESPONSIBILITIES:

Reporting to the Vice President of Commercial Insights Analytics:

• Identify data science analytics needs by collecting Stakeholders input on required KPIs and metrics. Perform discovery phase from data and business process perspective to indicate best approach towards analytics calculations.
• Demonstrate hands-on experience in developing and training AI/GenAI models.
• Apply advanced Python skills for data analysis, model building, and deployment.
• Support data strategy implementation through data science analysis, enabling the development and application of analytics solutions.
• Assist business stakeholders with analyses that drive behavior change and improve processes and performance.
• Employ best-in-class data science techniques to support solution design efforts.
• Collaborate with business teams to enhance data models for business intelligence tools and data science models, increasing data accessibility and fostering data-driven decision-making across the organization.
• Demonstrate proven experience in building and training AI/GenAI models.
• Utilize Python for data analysis, model building, and deployment.
• Identify opportunities for innovation and the application of data science solutions.
• Perform data analysis to design fit-for-purpose solutions.
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.

CAPABILIITIES / COMPETENCIES:

• Extensive experience in developing and training AI/GenAI models.
• High-level proficiency in Python for data science applications.
• Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and modeling.
• High degree of integrity, confidence, self-awareness, and learning agility.
• Customer-centric and solutions-oriented attitude.
• Proven track record in providing solutions based on business user needs.
• Experience working with outsourced support teams, including with team members based offshore (e.g. in India).

PROFESSIONAL EXPERIENCE / QUALIFICATIONS:

Required:

• Master's degree in Econometrics, Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field from an accredited institution.
• Minimum of 10+ years of experience in data analytics and/or data science.

Preferred:

• Experience in Oncology and Neurology
• Clinical and/or technical discipline knowledge (e.g., radiopharmaceuticals, theragnostics, treatment paradigms, and future trends)

OTHER REQUIREMENTS

• Routine overnight travel based on business need and frequent weekend work may be required.
• Valid driver's license

Core Values:

The ideal candidate will embody Lantheus core values:

• Let people be their best
• Respect one another and act as one
• Learn, adapt, and win
• Know someone's health is in our hands
• Own the solution and make it happen

Lantheus is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Lantheus is an E-Verify Employer in the United States. Lantheus will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the Lantheus Talent Acquisition team at talentacquisition@lantheus.com.

For more information, please visit www.lantheus.com

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