Senior Research Engineer

Reposted 13 Days Ago
Be an Early Applicant
New York, NY, USA
Hybrid
170K-205K Annually
Senior level
Healthtech
Intelligent pregnancy care for all.
The Role
As a Senior Research Engineer, you will develop data systems, conduct statistical analyses, and lead clinical research to improve maternal health outcomes through data-driven solutions.
Summary Generated by Built In

Objective: To apply biomedical and software engineering principles to research and build patient-centered technologies and data systems that improve pregnancy care. 

About Us: Delfina provides a leading pregnancy care data platform to improve maternal and child health outcomes‍

About You: As a Senior Research Engineer at Delfina, you will work at the intersection of clinical research, product development, and data engineering to design and execute complex data-driven projects that measurably improve pregnancy outcomes and support care providers. We are looking for someone who is excited to lead research and development projects, engineer robust data systems and analytical tools, and collaborate across technical and clinical teams to solve challenging problems in maternal health. 

Responsibilities: 

  • Drive the development and deployment of data analytics infrastructure, empowering Product and Clinical teams with data-driven strategic planning capabilities
  • Lead the creation of data-driven experimentation infrastructure to analyze user experience
  • Collaborate with Engineering team to ensure all required data is easily accessible for assessing product performance
  • Analyze drivers of patient, provider, and practice engagement with the Delfina Care to inform clinical product decisions
  • Conduct statistical analyses using multiple data assets
  • Contribute to the development and refinement of clinical prediction models
  • Ensure high standards for data accuracy and reliability
  • Identify opportunities for new data-driven product features that improve patient care
  • Create data-driven reports for external partners describing the impact of the Delfina Care platform

Qualifications: 

  • PhD in related field with 2 years of work experience
  • Proficiency in SQL, Python, SQLAlchemy, and version control systems (git and GitHub)
  • 2+ years experience leading the end-to-end development and deployment of data analytics tools and platforms
  • 2+ years of user experience research methodologies and infrastructure requirements
  • Experience working with cloud-based computing platforms (e.g., Google Cloud Platform)
  • Experience writing production-quality code and an understanding of software best practices
  • Experience working with EHR data, with knowledge of FHIR standard
  • Experience deploying clinical prediction models in practice

We value that everyone at Delfina brings a unique background and perspective. Prospective applicants are encouraged to apply even if they do not meet 100% of the listed qualifications and are encouraged to use their resume and other application materials to demonstrate how their skills meet, or are equivalent to, the listed qualifications.


Compensation: $170,000-$205,000 

The compensation range for this full-time internship in the United States represents a wide variety of factors, including location, skills, experience, education, and training. New interns who meet most of the qualifications above should expect to earn near the middle of the posted compensation range. 

Benefits: Medical/Dental/Vision benefits are provided as options for all full-time employees at Delfina. Additional company benefits may be included for interns on the basis of state and federal law and as available through company policy.


Application ‍Deadline for Best Consideration: July 11, 2025


Delfina provides equal employment opportunities (EEO) without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy or family status, national origin, age, veteran or disability status.

Note that Delfina does not currently sponsor or facilitate any U.S. work authorization for this position.  All applicants must have unrestricted and independent authorization to work at Delfina. Delfina participates in the E-verify program to confirm employment authorization eligibility.


Skills Required

  • PhD in related field with 2 years of work experience
  • Proficiency in SQL, Python, SQLAlchemy, and version control systems (git and GitHub)
  • 2+ years experience leading the end-to-end development and deployment of data analytics tools and platforms
  • 2+ years of user experience research methodologies and infrastructure requirements
  • Experience working with cloud-based computing platforms (e.g., Google Cloud Platform)
  • Experience writing production-quality code and understanding software best practices
  • Experience working with EHR data, with knowledge of FHIR standard
  • Experience deploying clinical prediction models in practice

Delfina Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Delfina and has not been reviewed or approved by Delfina.

  • Leave & Time Off Breadth Time off policies span flexible PTO alongside sick, mental health, company holidays, bereavement, and family/parental leave, signaling comprehensive coverage. For an early‑stage company, this breadth covers core expectations.
  • Parental & Family Support Fully paid parental, family, and bereavement leaves are explicitly provided and positioned as a notable component of the package. This emphasis on family support stands out for a small startup.
  • Healthcare Strength Medical, dental, and vision coverage are included for full‑time employees. This addresses essential healthcare needs for most candidates.

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The Company
HQ: San Francisco, CA
20 Employees

What We Do

We believe in the power of data to create a safe, healthy, and happy journey for every pregnancy. Our personalized prenatal care system removes the guesswork from pregnancy and lets parents and care teams focus on what matters most.

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