Head Of Data Science Analytics at Lokavant

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 the rapidly growing Lokavant team. The Head of DSA will manage and work alongside the DSA team and will be a member of Lokavant’s leadership team. Our platform is fully cloud-based and is being built around modern tools and frameworks in an incredibly fast-moving agile environment. As Lokavant’s Head of DSA you will be instrumental in setting and executing upon the vision for Lokavant’s 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 our 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 Lokavant’s 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 Lokavant Commercial team to represent Lokavant 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 we 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.)