Invitae joins Labcorp to further the future of genetic testing. Invitae is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people! Our team is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life.
The Clinical Science and Interpretation (CSI) team plays a critical role in expanding and improving medical interpretation capabilities by designing and developing robust, quantitative, and scalable systems. We achieve this by combining our unmatched clinical genomic expertise with the latest AI/ML technologies.
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We have an opening on our team for a Senior Research Software Engineer. The primary responsibility of this role will be to contribute to the design and development of our platform, which supports the rapid prototyping, scalable deployment, and evaluation of diverse evidence models. These models in turn provide key support for clinical interpretation of genetic testing results, directly impacting hundreds of thousands of patients every year. The CSI team is highly cross-functional and multi-disciplinary. You will work along-side genomic scientists, biophysicists, cellular engineers, data scientists, computational biologists, and medical geneticists to bring improved healthcare to patients.
Our team is committed to advancing the science and technology of genetic testing. This commitment requires us to integrate and foster the knowledge and growth of diverse domain expertise in biological, computational, and clinical sciences. You will champion a productive software development culture across the entire team. Your ability to communicate effectively with non-engineers regarding quantitative analyses, quality control, machine learning, computational simulations, clinical genomics, and other diverse types of biological data is paramount to the team's success.
Duties and Responsibilities:
- This role requires the ability to independently own services from design, implementation, testing to deployment and monitoring.
- This individual contributor role has the scope of multiple products or features within the team.
- Modernize and expand upon our end-to-end platform that enables scientists of various backgrounds to rapidly prototype, scale, validate and distribute diverse methods to support variant interpretation in genetic testing.
- Enhance and improve our computational infrastructure for machine learning; support workflows and libraries to rapidly integrate advances in diverse fields of biological, computer, and clinical sciences.
- Keep our evidence models up-to-date. Retrain models with new data.
- Write structured, tested, readable and maintainable code.
- Participate in code reviews to ensure code quality and distribute knowledge.
- Support the deployment and integration of evidence models for the clinical variant interpretation team.
- Define solutions and operational processes to level up the team.
- Help lead and support the team's software engineering culture.
- Support your teammates by encouraging learning and growth in their engineering capacities.
- Ensure the team follows best practices and adheres to design principles.
- Contribute to the overall architecture and technology roadmap.
- Work and communicate effectively in a lean, highly collaborative and cross-disciplinary team to deliver quantitative, mechanistic, and scalable support for clinical interpretation of genetic results.
- Effectively interface with other engineering teams to achieve cross-functional goals.
Minimum Education and Experience Required:
- Bachelor's degree in Engineering, Computer Science, IT or related field.
- 5+ years progressive development experience
Preferred Qualifications:
- Experience with genetics, molecular biology or bioinformatics is a plus
Skills and Competencies:
- Industry experience with full-stack architecture and distributed systems, with fluency in Python.
- Strong ML Ops expertise and a passion for staying abreast of state-of-the-art ML Ops and data engineering technologies.
- Hands-on experience with databases and building REST APIs.
- Excellent problem solving and analytical skills.
- Demonstrated commitment to proposing solutions that balance trusted and established approaches with innovative tools.
- Demonstration of leadership experience or capabilities.
- Thrives in a self-driven development environment.
- Top-notch communication skills.
- Ability to work effectively in a highly cross-functional environment where collaboration across disciplines is a key component for team success.
- A mission-oriented mindset and a desire to never stop learning.
Working Conditions:
- Remote position
- Infrequent travel for meetings
Application Window Open Until: 11/15/24
Pay Range: $100K - $161,175K
All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.
LBP Eligible Position: 10%
The position is also eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here.
Labcorp is proud to be an Equal Opportunity Employer:
As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic.
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