Sr Clinical Informatics Engineer I - OMOP Specialist

You + Helix

Helix is a place where innovators and doers gather in order to drive significant progress in population genomics. We have come together to work at the intersection of clinical care, research, and genomics.  

If you’re excited by the idea of making a meaningful impact and joining a team where we pride ourselves on driving innovation through fostering an environment with an emphasis on empowering one another to grow, Helix might be the place for you!

Helix + The World

Helix is the leading population genomics and viral surveillance company. Helix enables health systems, public health organizations and life science companies to accelerate the integration of genomic data into patient care and public health decision making.

We are continuing to scale our world-class team to support our dedication to empowering every person to improve their life through DNA. 

Helix + Transparency

At Helix, we value transparency. You will find the expected compensation, interview process, what to anticipate during onboarding, and your first 90 days listed in the job description for all Helix roles.

What is special about this role?

The Helix Clinical Informatics team plays a pivotal role in Helix’s efforts to provide a first-in-class clinico-genomics research dataset for our partners to conduct and publish cutting-edge genomic studies. Working closely with our Research and Research Platform teams, we are responsible for the exploration, integration, and analysis of clinical information obtained from EMRs, self-reported health outcomes, claims, biomarkers, and other digital phenotypes. Together with our Exome+ sequencing data, this combined dataset will enable discovery of novel genomic risks of disease, patient finding for clinical studies, aid clinical decision support, and improve care pathways.  The patient is top of mind in everything we do, and your contributions here have the opportunity to improve the real world outcomes for each and every one.

As a Senior Clinical Informatics Engineer I - OMOP Specialist, you will:

• Be our internal expert for setting standards and patterns for our OMOP clinical data warehouse
• Work closely with our health system partners to establish and maintain EHR data pipelines
• Utilize strong technical, clinical, analytical skills to standardize, integrate, normalize, and analyze large clinical data sets from multiple health care providers
• Develop and streamline algorithms to assess the completeness, integrity, and reliability of data and the validity and accuracy of analytical results.
• Create databases, datasets, and reports and perform statistical analyses appropriate to data.
• Work closely with our Research team to build RWE hypotheses, measure, test, and validate clinical outcomes
• Write reports, develop presentation materials, and contribute to manuscripts to clearly communicate methodologies and findings to technical, business, and clinical audiences, both internal and external
• Work cross-functionally with our Research Platform, Research, and Data Engineering teams 

About you:

• Experience writing ETL pipelines using the OMOP CDM
• Strong knowledge of current standards of healthcare data exchange (e.g. OMOP, FHIR, HL7, CDA) and common clinical coding standards (ICD, CPT, LOINC, SNOMED-CT).
• At least 3 years of experience using and writing reports in Epic or other EHR system
• Strong programming skills in Python and SQL
• Excellent communication skills, oral and written
• Ability to work with various sources of data; familiar with database design, typical healthcare data models, and data manipulation/cleansing techniques
• Experience working in cloud environments (AWS) and workflow tools (Airflow)
• Ability to think creatively to solve problems on tight timelines
• At least 5 years of experience in a healthcare information technology setting (payor, provider, or gov’t)
• Master’s Degree or higher in Health Informatics, Biostatistics, Computer Science, or other related scientific discipline
• Strong analytical and problem-solving skills; desire to learn and grow in healthcare industry
• Adaptable in a fast-paced startup environment where priorities may change quickly and frequently

 

Pluses:

• Experience in Healthcare Administration, Ambulatory, or Public Health settings
• Experience analyzing longitudinal, categorical, multivariate, and time to event data, and building/validating clinical risk models based on multifactorial data 
• Demonstrated willingness to teach others and learn new techniques.
• A high level of clinical knowledge, analytical ability, and critical decision