At Koneksa, we are focused on using new technologies to improve clinical research and drug development. We help leading life sciences companies and research hospitals remotely capture real-world data from patients. Our projects deploy digital health technologies such as FDA approved activity trackers, wearable vital sign monitors, and other emerging monitoring devices that collect data outside the clinical and laboratory setting. We are developing digital biomarkers that help our customers make faster decisions, often using smaller studies, with technologies that enhance the experience of the patients who participate. 

We're on a constant quest to improve the tools and endpoints that are used to get the right new therapies to patients who need them. Our experienced and diverse team challenges traditional development paradigms to work at the intersection of what some would consider competing forces—compliance and innovation. At Koneksa, we believe that science, technology, analytics, and agile learning experiences are primary drivers to develop patient-centric solutions that enable our customers to make faster decisions in clinical trials.

Day to day you will partner with the Director of Data Science to provide advice and tactical work, translating our customers requirements for clinical hypotheses and study measurement requirements, into technical specifications for devices, data and related data processing needs. This equally consultative and hands on delivery role, provides regulated compliant solutions that can be deployed in sponsored clinical trials using the Koneksa Compare platform and capabilities. On any given day you may be researching peer reviewed literature, writing papers or grant applications, developing solutions in code or giving presentations to internal or external stakeholders.

A successful incumbent will partner closely within and across internal departments (data science, client ops, business development, sales, operations and technology), plus external clients and partners, demonstrating agility to adjust own working style to effectively address diverse audiences, and a balance of communication and technical skills to connect with technical and non-technical subject matters experts effectively.

The Data Scientist at Koneksa, has a passion to provide solutions where others see problems, demonstrating high-level orientation to details and excellence in the execution, while applying previous and new varied knowledge in the creative ways that promote better and agile results for drug development and patient centric solutions.

Responsibilities

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

• Architect and deliver data models and algorithm processing pipelines in code that are production ready for use and support production related deliverables

• Write prototype and production code to produce, process and QC (quality control) large clinical datasets (in house and cloud) for client data transfers and analysis, and present reports

• 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 that cover the scope of science, technology, study design and project delivery necessary to deliver an end-to-end solution

• 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

• Design and deliver validation studies both Koneksa funded and sponsored research

• Support the product team to define the product strategy for data science product by evaluating technologies and products versus internal capabilities

• Support the Senior Scientist on algorithm refinement and development

• Be hands on and practical in everything you do - the role requires diverse execution across science, technology and operations

• MS in scientific discipline with 5+ years or PhD with 3+ years of work experience

• 5+ years of experience in design and delivery of scientific solutions with excellent portfolio of software solutions to scientific problems

• 5+ years of experience in Data Science and related operations

• 5+ years in Python (pandas, numpy, pymongo, etc.), including experience with Object Oriented Programming (OOP), R and Matlab including using version control (Git, GitHub)

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

• Applied experience in clinical trials with strong knowledge and practical experiences with high density data types in a clinical setting

• Experience in extracting data from databases using MongoDB and Amazon S3

• Experience with software architectures for handling large volumes of data

• Advanced statistical analysis techniques

• Experience with Linux and tools for working with remote servers (bash, ssh, sftp, etc).

• Published record of peer reviewed publications, grants and conference presentations

• 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 single-handedly and 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. 

Learn more about us by visiting www.koneksahealth.com and https://www.linkedin.com/company/koneksa-health/.