Clinical Data Scientist

Job Description

About Syapse

Syapse is a real-world evidence company on a mission to improve outcomes for all cancer patients. By integrating complete, longitudinal, and continuously updated real-world patient data, we can provide unique insights into patients’ care journeys. Our advantage derives from a decade of partnership with the world’s largest Learning Health Network of innovation-driven healthcare systems.

Syapse enables providers to operationalize precision medicine and deliver the best care today to their patients while helping life sciences companies and regulators accelerate the development and approval of new therapies for patients tomorrow. Together we are working toward a future in which all cancer patients have access to the best precision care.

About the role

Do you wrangle data in your dreams? Are you excited about the untapped possibilities of real world evidence to transform patient care? In this role, you will have concrete contributions to our data pipelines and platforms, as well as the freedom to research and develop new methods.

Syapse has built a massive and revolutionary data-sharing network integrating clinical and molecular data from various health systems. You will work on a team that works on and within this data platform within the domains of machine learning, natural language processing, and data validation. Our mission is to transform raw data into actionable insights, to fulfill our goal of improving patient care. We are a highly collaborative team, working with other teams across the organization, from Strategy, Research, and Medicine to Product and Engineering.

What You’ll Accomplish

You will have concrete contributions to our data pipelines and platforms, as well as the freedom to research and develop new methods. You will be our bridge between cancer data needs & technology solutions to put real world data into context and generate meaningful insights. You enjoy translating complicated concepts into digestible results and executing against multiple simultaneous projects. Your strong working knowledge of clinical / healthcare data and analytics is augmented with a deep understanding of the application of precision medicine within oncology. Your expertise spans across the data, underlying technology, and business sides of the organization.

In your first year you will complete:

• Automation of our NLP Biomarker pipeline
• Success is measured by integration of automation into the data platform
• Development of predictive models on healthcare data
• Success is measured by adoption within organization
• Publication of new methods/applications in NLP or ML
• Success is measured by acceptance of publication in journal/conference

What you bring to the table

• Demonstrated experience in machine learning
• Data pipelining
• Experience with cloud (especially AWS), data pipelines (especially Airflow), experience with healthcare data, NLP experience
• Ability to write scripts (e.g. python, perl) to perform data manipulation and analysis.
• Experience with a query language such as SQL or SPARQL.
• Experience with a statistical package such as R.
• Excellent verbal and written communication skills, with emphasis on relaying complex information and concepts in more relatable terms.
• Demonstrated proficiency in clinical oncology data (medical terminology such as diagnoses, treatments and biomarkers, provider workflow, and clinical trials).

Meet the team: https://medium.com/syapse

A Note on Location:

Syapse is a Remote-First company. What does that mean? Simply, we hire team members anywhere regulations allow and assume everyone will work from home full time. Unless expressly stated otherwise, Syapse hires need to be located and perform their job in the United States and entirely outside the State of Colorado. Some folks travel, some may eventually gather in person in areas where we have a critical mass of employees, and of course we’re excited to get together as departments and as a whole company throughout the year in person. But you, and the rest of Team Syapse, will mostly work from home.

Next steps

Syapse is a globally dispersed, technology-enabled insights company. conducting all interviews via phone or video chat. Typically an interview process starts with a call with a recruiter, then a team member or hiring manager one on one, followed by a series of 3-4 interviews with team members and stakeholders. We’re committed to providing you the best possible interview experience and opportunities to spend meaningful time getting to know our company, mission, and wonderful teammates. We appreciate your help in achieving this outcome and welcome your feedback and requests on how we can make this a reality for yourself & future candidates.

Have a quick question about the role? Email [email protected] or simply apply here.