Senior Data Scientist
LMI
HadoopPythonSparkSQL
Genomic Data Scientist
GeneDx
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $104,545 - $130,681 per year
Job Level
JuniorMid-Level
Tech Stack
CloudPythonSQL
About the role
- Contribute to the analysis and design of standard data reporting for collaborations with biopharma, commercial enterprise, patient advocacy and education teams
- Communicate clinical and data insights from standard reporting based on gene, phenotype, or variant of interest to internal and external stakeholders
- Work closely with cross-functional internal teams, including medical writers, clinical program managers, engineers, and researchers, to proactively support projects and initiatives.
- Maintain data definitions, pipelines, templates, and workflows to ensure data integrity and reproducibility.
- Support comprehensive data analyses for scientific research, conference presentations, and manuscript preparation
- Perform preliminary feasibility queries to inform for downstream research design and execution
- Ensure the accuracy, integrity, and security of clinical data by following best practices in data management and quality control
- Utilize standard statistical methods to analyze genetic and clinical data.
Requirements
- MS in Genetics, Bioinformatics, Biostatistics, Genetic Epidemiology, Genetic Counseling or a related field.
- Minimum of 2-4 years of experience in clinical data analysis, preferably in the genetic testing or healthcare industry. Preference will be given to candidates with clinical experience in genetic counseling or human genetics research. Data analysis experience in a non-biological field will not be considered for this role.
- Proficiency in querying relational databases with SQL.
- Basic proficiency in statistical testing and programming languages such as R or Python.
- Strong understanding of genetic data and clinical research methodologies.
- Strong analytical and problem-solving skills with the ability to interpret complex data sets.
- High level of accuracy and attention to detail in data analysis and reporting.
- Ability to work effectively in a collaborative, team-oriented environment.
- Excellent communication skills, with the ability to present complex data to diverse audiences.
- Preferred: Experience using cloud-based data warehouse platforms such as Snowflake or equivalent
- Preferred: PhD in Genetics, Bioinformatics, Biostatistics, Genetic Epidemiology, or a related field.
- Preferred: Experience with data visualization tools and techniques.
- Preferred: Proven track record of contributing to scientific publications and conference presentations.
Benefits
- Paid Time Off (PTO)
- Health, Dental, Vision and Life insurance
- 401k Retirement Savings Plan
- Employee Discounts
- Voluntary benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
clinical data analysisSQLstatistical testingRPythondata analysisdata managementdata integritydata visualizationgenetic data analysis
Soft skills
analytical skillsproblem-solving skillsattention to detailcollaborative skillscommunication skills
Certifications
MS in GeneticsMS in BioinformaticsMS in BiostatisticsMS in Genetic EpidemiologyMS in Genetic CounselingPhD in GeneticsPhD in BioinformaticsPhD in BiostatisticsPhD in Genetic Epidemiology
