Head of Data Science & Analytics

New York, Remote (US) / permanent /

Chris Gardner
Senior Consultant
+1 (646) 844 - 5743

Our client enables next-generation clinical trials through data-driven products, including its flagship product, a tech-enabled risk-based monitoring solution and a clinical operations benchmarking tool. This aggregates and delivers real-time data from disparate trial data sources, predicts issues during clinical development to mitigate trial risks, and empowers monitoring teams by visualizing critical study data. Empowering clinical teams to benchmark clinical trial performance and analyze vital indicators of trial success and failure.

About the Opportunity

How often are you given the opportunity to build something from the ground up; to be part of a team of people accomplished in diverse scientific and engineering disciplines, focused on using the best of what lies at the forefront of technology to address complex, real-world problems that have a positive impact on potentially millions of peoples' lives? This is that kind of opportunity.

We are seeking a thoughtful, hands-on Data Science and Analytics (DSA) leader with an aptitude for clinical trial data to join this rapidly growing team. The Head of DSA will manage and work alongside the DSA team and will be a member of leadership team. This platform is fully cloud-based and is being built around modern tools and frameworks in an incredibly fast-moving agile environment. As Head of DSA you will be instrumental in setting and executing upon the vision for differentiation in the clinical research technology industry.  We are specifically looking for functional managers, who will roll up their sleeves and work alongside their team members, developing and validating best-in-class predictive models to support product strategy.


Key Responsibilities

  • Help the people who report to you grow and accomplish more by setting clear goals, providing direct feedback, managing project loads, and allocating resources accordingly, and ensuring deadlines are met
  • Take an active role in defining the development roadmap and deliverables for the DSA team in an integrated agile product development process
  • Drive the creation of departmental Objectives and Key Results (OKRs) for the DSA team, including representing the department at Quarterly Strategic Planning meetings.
  • Drive development and productization of end-to-end machine learning models
  • Organize & resource the DSA team to ensure success across company objectives
  • Work in a small team setting partnering with engineers and scientists to derive the insights needed to support our products and product features
  • Follow industry standard practices to implement, optimize, maintain, troubleshoot, and continuously improve the practices of the data science team
  • Support creation and maintenance of the DSA stack, working closely with our DevOps and IT functions
  • Enable effective working relationships across Product Management, Front-End Development, Development Operations, Commercial and Data Engineering
  • Work with the Commercial team to represent companies data science capabilities to potential/existing clients and other third-parties
  • Help recruit highly capable data scientists and analysts to the team from diverse backgrounds
  • Mentor and be mentored by data scientists of varied experience levels and subject matter areas


Minimum Requirements

  • 3+ years relevant experience leading data science workstreams
  • 5+ years relevant experience with data science
  • Coding proficiency in Python, R, SQL
  • Strong understanding of advanced statistical models and Machine Learning techniques
  • Demonstrated ability with an ML toolkit
  • Experience in managing data engineering ELT pipelines, including data mapping, warehousing, and architecture
  • Experience working in an Agile software development environment
  • Exceptional written and verbal communication skills
  • Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills
  • Proactive, self-motivated and self-directed, with the ability to learn quickly and autonomously
  • Comfortable with ambiguity
  • Superior problem-solving and troubleshooting skills
  • Ability to work as part of a collaborative cross-functional team in a fast-paced environment
  • Sincere interest in working at a rapidly changing start-up and scaling with the company as they grow


Preferred (Nice-to-have) Qualifications

  • Advanced degree (e.g. MBA, MSc, PhD, etc.) with strong academic performance in Statistics, Mathematics, Data Science, or equivalent field
  • Experience in the life sciences industry
  • Experience with healthcare data, ideally clinical/operational clinical trial data
  • Knowledge of clinical data standards (e.g. CDISC, FHIR, HL7, etc.)
  • Knowledge of e-clinical systems and technologies (e.g. EDC, CTMS, IRT, etc.)


Employee Benefits

  • Competitive salary and annual performance bonus
  • Full medical, dental, and vision benefits, including mental health and telehealth
  • Employee stock options
  • Free membership to One Medical
  • 401(k) retirement savings plan with company match
  • Flexible paid time off policy
  • Flexible remote work policy
  • Generous paid parental leave policy
  • Short and long-term disability insurance
  • Basic and supplemental life and AD&D insurance
  • Health Advocate program
  • Employee Assistance Program (EAP)
  • Healthcare & dependent care Flexible Spending Accounts (FSA)
  • Discounts on auto, home, and pet insurance
  • Commuter benefits
  • Great NYC office located in the heart of Times Square
  • Team-building events and outings
  • Learning and professional development opportunities
  • Employee referral program