Data Scientist I / II

Posted Yesterday
Hiring Remotely in Jersey City, NJ, USA
In-Office or Remote
110K-175K Annually
Junior
Artificial Intelligence • Software • Biotech
The Role
Analyze multimodal healthcare, genomic, clinical, and biomedical imaging data to support drug discovery, biomarker development, disease progression modeling, clinical trial design, and real-world evidence analyses. The role involves building statistical and machine learning models, developing data pipeline modules and interactive tools, collaborating with clinical, genomics, and biology teams, contributing to data strategy, and communicating findings through publications and stakeholder presentations.
Summary Generated by Built In

About Character Biosciences

Character Biosciences is a precision medicine company pioneering targeted therapies for ophthalmology. Our patient data platform integrates genomics with deep, longitudinal clinical and imaging data, enabling us to uncover genetic drivers of disease progression, advance novel therapeutics, and define patient stratification strategies that improve clinical success.


Our interdisciplinary team spans human genetics, clinical science, data science and engineering, and drug discovery and development. We are advancing two programs for Dry Age-related Macular Degeneration (AMD) into the clinic, with additional discovery-stage programs underway.


Founded in 2018, Character has raised capital from leading investors at the intersection of healthcare and technology, including an oversubscribed $110+ million Series B in 2025 co-led by aMoon and Luma Group, with participation from Bausch + Lomb, Innovation Endeavors, Sanofi Ventures, Catalio Capital Management, S32, KdT Ventures, and Jefferson Life Sciences. We also maintain a multi-target drug discovery collaboration with Bausch + Lomb to develop innovative precision medicines for AMD.

Role: Data Scientist, I/II

Reports to: Director, Biostatistics

Department: Data Science

Location: Hybrid


The Opportunity

We are looking for an experienced data scientist with expertise analyzing medical and life science data to join us as a member of our team. You will be making mission-critical contributions to Character’s drug discovery and development programs by leveraging our multi-modality dataset to support the identification of new therapeutic targets and inform our clinical trial design strategy. You will have responsibility for determining and implementing scientific and analytical methodologies, for providing data-driven guidance to cross-functional teams, and to contribute to the continued improvement of Character’s data platform. This role is ideal for someone who thrives in a lean, fast-moving environment and enjoys tackling scientifically interesting problems using unique multimodality data.


This is a hybrid role based at our Jersey City, NJ headquarters reporting to the Director of Biostatistics and Data Science.


Responsibilities

Key Responsibilities:

  • Contribute to the implementation of models and analyses to support Character Bio's drug discovery and development activities, including quantitative biomarker from imaging and phenotype development, disease progression and time-to-event (survival) modeling, and real-world-data analyses
  • Partner with the clinical development and biostatistics team on pre-specified and exploratory analyses to bring our real-world data to bear on trial design and interpretation
  • Collaborate on cross-functional analyses with members of the genomics, clinical research, and biology teams.
  • Develop and implement improvements and extensions to Character's data platform including analytic pipeline modules and interactive analysis tools across both our AMD and glaucoma programs.
  • Contribute to Character's data and analytics strategic planning and roadmap
  • Contribute to scientific publications and the communication of Character's data science work to internal and external stakeholders.

Skills and Qualifications:

  • PhD in Statistics, Data Science or a related technical field
  • 1–3 years of professional experience applying statistical and data science methods to real-world healthcare data (e.g.,claims, EMR, or other observational data)
  • Hands-on experience analyzing biomedical imaging data, ideally retinal imaging such as optical coherence tomography (OCT), fundus autofluorescence, or fundus photography (experience with other modalities such as MRI, CT, or histopathology/IHC is also relevant)
  • A strong statistician's grounding combined with hands-on software skills: comfortable writing production-quality
  • Python and/or R code and leveraging modern AI tools to implement analyses
  • Deep knowledge of machine learning and statistical methods, including survival/time-to-event analysis, mixed-effects modeling, and Bayesian methods (an area we are looking to expand further, particularly within our genetic analyses)
  • Experience developing longitudinal models on biomedical data, particularly real-world data including electronic medical records (EMRs) and/or claims data
  • Experience developing and implementing data analysis software modules and tools as part of data pipelines and to enable interactive analysis
  • Strong problem-solving skills, with a focus on using data to drive action and decision making
  • Excellent communication skills, with the ability to work cross functionally in a team-oriented environments

Preferred Qualifications:

  • Experience developing and deploying encoder-based deep learning models in production.
  • Experience with ophthalmology data, particularly clinical data related to AMD or Glaucoma


Compensation & Benefits


The annual pay range for this full-time position is $132,000 - $155,000 for Scientist I and $149,000 - $175,000 for Scientist II  + equity + benefits. Actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set, years and depth of experience, certifications and work location.


Benefits include a competitive salary, strong equity incentives, medical, dental, vision, 401(k), and an accrued paid time off policy. Character is committed to recruiting, developing, and supporting colleagues from all backgrounds. We embrace diversity, equity, and inclusion as an integral part of our culture. 


EEO Statement


Character Biosciences is an equal opportunity employer and is committed to building a diverse and inclusive workforce. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.


Work Authorization


Applicants must be authorized to work in the United States.

Skills Required

  • PhD in Statistics, Data Science, or a related technical field
  • 1–3 years of professional experience applying statistical and data science methods to real-world healthcare data, such as claims or EMR data
  • Hands-on experience analyzing biomedical imaging data
  • Production-quality programming experience in Python and/or R
  • Knowledge of machine learning and statistical methods, including survival or time-to-event analysis, mixed-effects modeling, and Bayesian methods
  • Experience developing longitudinal models using biomedical real-world data, including EMRs and/or claims data
  • Experience developing and implementing data analysis software modules and tools for data pipelines and interactive analysis
  • Strong problem-solving skills focused on data-driven decision-making
  • Excellent communication and cross-functional collaboration skills
  • Experience developing and deploying encoder-based deep learning models in production
  • Experience with ophthalmology data, particularly AMD or glaucoma clinical data
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The Company
HQ: San Carlos, California
48 Employees
Year Founded: 2019

What We Do

Character Biosciences is a precision medicine company transforming drug development for progressive, polygenic diseases, beginning with ophthalmology. Our mission is to identify the genetic and molecular drivers of disease progression so we can develop targeted therapies for patients who urgently need them. We've built one of the most comprehensive resources in age-related eye diseases by partnering with over 150 ophthalmology clinics to integrate genetics with longitudinal clinical and imaging data. This deep phenotyping approach enables us to reclassify complex diseases like age-related macular degeneration (AMD) into genetically defined subtypes, unlocking novel therapeutic targets and optimizing patient selection for clinical trials. Character Bio’s AI-powered platform combines genomics, multi-modal data, and machine learning to discover and develop therapies that are more precise and more effective. Our lead programs, CTX114 and CTX203, are advancing toward clinical trials and are designed to slow or prevent vision loss in AMD patients. We are committed to delivering a new generation of precision medicines to treat and ultimately cure age-related blindness.

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