... software engineering and commercial departments. The ideal candidate will have a strong background ... from research through commercial launch. * Supervise bioinformatics scientists and data scientists ...
The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Work cross-functionally with wetlab and software teams to critically evaluate data from multiplex ...
The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Work cross-functionally with wetlab and software teams to critically evaluate data from multiplex ...
The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Work cross-functionally with wetlab and software teams to critically evaluate data from multiplex ...
The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Work cross-functionally with wetlab and software teams to critically evaluate data from multiplex ...
Scientist, Bioinformatics Job Locations US-Remote | US-MO-St. Louis Posted Date 2 months ago(5/26 ... Work cross-functionally with wetlab and software teams to critically evaluate data from multiplex ...
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Quick apply
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Quick apply
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From Home Bioinformatics Software Engineer information
What is the difference between From Home Bioinformatics Software Engineer vs From Home Data Scientist?
| Aspect | From Home Bioinformatics Software Engineer | From Home Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills in Python, R, Java | Bachelor's or Master's in Data Science, Statistics, or related fields; proficiency in Python, R, SQL |
| Work Environment | Remote, often collaborating with research labs, biotech firms, or healthcare companies | Remote, working with tech companies, finance, or healthcare organizations |
| Industry Usage | Primarily in biotech, healthcare, and research institutions | Across tech, finance, healthcare, and consulting sectors |
Both roles often require strong programming skills and a background in data analysis. The main difference lies in their focus: Bioinformatics Software Engineers specialize in biological data and research applications, while Data Scientists work across various industries analyzing diverse data sets. Both roles are increasingly remote and collaborative, making them suitable for from-home work environments.
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Natera rating
7.6
Based on 37 frontline employees who took The Breakroom Quiz
60th of 120 rated laboratories
Job description
Natera is currently seeking a Bioinformatics Manager to join the Bioinformatics team focused on Oncology Product Development. In this role, the individual will manage a team of Bioinformaticians and Data Scientists and provide technical leadership in the design, development and validation of ctDNA-based diagnostic tests. This position requires extensive cross-functional collaboration with biostatistics, molecular biology, software engineering and commercial departments. The ideal candidate will have a strong background in bioinformatics and data science, optimally with experience in the analysis or modeling of DNA methylation data, and an established record of project and technical leadership.
PRIMARY RESPONSIBILITIES:
- Lead the effort to develop, optimize, and improve tools and analysis pipelines for diagnostic tests, including the detection of cancer-associated variants or methylation patterns and the implementation of evidence-based quality control thresholds.
- Provide technical leadership for product development projects by representing the team in cross-functional interactions and moving products through the full development process, from research through commercial launch.
- Supervise bioinformatics scientists and data scientists, managing their technical contributions, prioritizing resources, and taking responsibility for their technical and professional development.
- Provide input on experiment design, analysis and interpretation based on expert understanding of Natera's technology and relevant mathematical principles.
- Work at a high level of independence and responsibilities in carrying out assignments.
- Contribute to our intellectual property portfolio.
- Set standards for rigorous data analysis and lead the production of high-quality documentation.
QUALIFICATIONS:
- Master's degree or Ph.D. in a quantitative discipline (bioinformatics, engineering, applied mathematics, statistics, or similar).
- Minimum of 4-8 years of post-graduate experience in a data science and/or bioinformatics role and 1-3 years of experience as technical lead in diagnostics or a related field
- Experience moving algorithm-based products through commercialization and launch in a medical or biological application such as diagnostic testing, medical imaging, or biotechnology
Desirable, but not required:
- Prior experience analyzing or modeling DNA methylation data.
KNOWLEDGE, SKILLS, AND ABILITIES:
- Experience using Python or R for scientific data analysis and visualization.
- Strong foundation in statistical modeling/machine learning, including probability theory and estimation/classification methods.
- Experience with analysis of next-generation sequencing data, preferably including algorithm development or optimization.
- Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions.
- Excellent analytical, problem-solving and decision-making skills to independently make sound judgments and find creative solutions to moderately complex problems.
- Experience leading technical projects, including defining and meeting project milestones, delegating tasks to more junior team members, and ensuring the quality of technical deliverables.
- Excellent communication skills and the desire to work in a dynamic and collaborative environment.