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Company

Original Job Post

BioSpace · 1 week ago

Senior Director of Data Science

Utica-Rome Area

Full-time

Onsite

Director

$280K/yr - $350K/yr

8+ years exp

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Comp. & Benefits

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Responsibilities

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.

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.

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.

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.

Ensure data quality, integrity, and security.

Establish best practices for data management and analytics.

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.

Qualification

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Data ScienceDrug Development ExpertiseProgramming ProficiencyMachine Learning ExpertiseBig Data TechnologiesStatistical SkillsData ManagementTechnical LeadershipTechnology TransformationStakeholder ManagementRelationship BuildingInfluencingCollaborationAdaptability

Required

PhD in Data Science, Computer Science, Statistics, Mathematics, Life Sciences or a related field.

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.

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

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.