At Koneksa, we are focused on technology innovation – developing digital biomarkers and novel endpoints to improve clinical research and drug development. We help drug development organizations and research hospitals collecting data using wearable devices and other digital tools. We develop endpoints based on wearable and outcome data to support deployment of various digital measures, including but not limited to actigraphy devices, biopotentials, device-based functional assessments, and electronic questionnaires. 

Koneksa’s software platform is used to integrate, manage and analyze certain types of ‘real world’ data that are gathered from patients who participate in clinical studies. This includes data that can be reported by patients using a mobile device such as iphone, apple watch or gathered from other types of medical devices that can be used remotely to collect important data such as activity, sleep, lung function or vital signs.

Digitally supported clinical measurement concepts rely heavily on combining evidence from the literature, data models, retrospective analyses with clinical expertise.  Many such concepts combine multiple measures, devices and datasets which may be combined to create multiple distinct or a single composite endpoint.

This role reports to the Head of Data Science and provides “3rd line” support in their partnerships with the CMO, commercial and execution teams to research and develop data driven aspects of such measurement concepts - from inception through to handover for study execution. The role is hands-on applied and clinically informed data science - think of the role as a continuous Ph.D..  

The work product of the role requires delivery to the standards required by the regulated environment in which we operate, peer reviewed publications and commercial contract. On any given day, you may be researching peer reviewed literature, writing analysis plans, code or papers and giving presentations to internal or external stakeholders.  Each problem you work on will be new territory - no search engine will tell you possible  answers - only you and the combination of your curiosity and fundamental science can do this.

Aside from scientific and technical competencies, the role will require attention to detail, initiative, and eagerness - which together drive a willingness to find solutions instead of problems. You are a lateral thinker able to read and rapidly comprehend scientific literature, connect diverse dots and move forward. Everything you do will require constant quality communication to different stakeholders with differing levels of expertise.

Responsibilities

• Develop evidence-based and data-driven solutions to clinical measurement problems

• Architect and deliver concept data models supported by evidence from the literature

• Create evidenced based simulations to describe pertinent scenarios

• Define and execute retrospective analyses in partnership with the biostatistics team

• Develop solutions which can be delivered within regulatory validation frameworks

• Analyze any relevant data, persistently aware of contextual limitations 

• Effectively and proactively communicate and collaborate with external and internal teams to gather information and contribute to data transfer specification contracts

• Create presentations for different types of stakeholders

• Contribute to patents, peer reviewed publications, grant proposals, clinical protocols/synopsis and regulatory submissions  in partnership with other team members

• Clinical study protocol/synopsis development with minimal guidance; including writing, reviewing, resolution of cross functional comments while ensuring high clinical quality

• Be hands on and delivery oriented in everything you do - talking is one aspect of doing

• PhD with 3+ years of work experience in commercial and clinical data science or publication equivalent record

• 3+ years of clinical domain / clinical research experience including protocol development and execution, preferably in regulated industries from data science perspective

• Advanced statistical analysis techniques

• Excellent communication, critical thinking and problem solving skills

• Highly organized with a keen attention to detail and ability to work on multiple projects and manage competing deadlines

• Ability to work solo with persistence and equally collaboratively in a team setting

Benefits

• Competitive salary
• Stock option scheme eligibility
• 100% covered employee healthcare. 50% dependent covered healthcare
• Employer 401(k) matching
• Choice of computer equipment

Koneksa Health, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Koneksa Health Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.