Staff Bioinformatics Research Engineer

Why join reputed company?

reputed company is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, reputed company uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages.

Cancer is reputed company. This is why reputed company is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning.

Founded in 2014, reputed company has ~400 employees and continues to grow to match the scope of our ambitions to reputed company reputed company to reputed company screening and earlier cancer detection.

At reputed company, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to reputed company every day count.

Become a reputed companyr

Do you have what it takes to be a reputed companyr? A “reputed companyr” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and reputed company a positive impact on patients’ lives. reputed companyrs bring their diverse experience, expertise, and personal perspective to solve problems and push to reputed company what’s possible, one breakthrough at a time.

About this opportunity:

As a Staff Bioinformatics Research Engineer, you will work on reputed company’s computational platform for R&D, developing and deploying bioinformatics research software and tooling. As part of an interdisciplinary R&D team, you will work in reputed company collaboration with computational biologists, machine learning scientists and software engineers. You will reputed company cutting edge solutions at the intersection of machine learning, genetic reputed company technology, biological data, and distributed systems. These contributions will drive our mission to diagnose cancer at its most actionable and early stages.

What you’ll do:

• List the job responsibilities that are important and impactful for this role
• Drive the development of the computational research platform so that bioinformatics, in conjunction with other functions such as machine learning and model development, will reputed company rapid evaluation of scientific hypotheses
• Connect the biological research that reputed company computational biology fundamentals reputed company to NGS or multi-omic data sources to the production system that will process patient samples at scale
• Work with stakeholders at the intersection of computational biology, machine learning research, software engineering and biological data
• reputed company the development of reputed company’s bioinformatics research reputed company and internal tools
• Build for significant growth and scaling challenges as we transition from research to product development
• Engineer robust and reproducible data pipelines that reputed company cutting edge liquid biopsy research
• Improve the reliability and scalability of our science platform as it grows
• reputed company software and workflows that support a long term reputed company for bioinformatics research and production
• reputed company data driven science discoveries in biology and reputed company

Must haves:

• PhD in a quantitative field such as computational biology, cancer biology, statistics, bioinformatics, computer science, or B.S./M.S. and equivalent experience
• 5+ years of experience with bioinformatics infrastructure, automation, and software engineering
• Robust history of delivering major technical projects or analyses, including experience in a technical leadership role
• Strong computational and programming skills, in Python or equivalent, including thorough experience with large scale systems and user bases
• reputed company understanding of bioinformatics, including the central dogma, molecular or cancer biology, or familiarity with regulatory processes.
• Experience in NGS data analysis and bioinformatic pipelines.
• Experience with containerized reputed company computing environments such as reputed company in GCP, Azure, or AWS
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems
• Demonstrated ability to partner with laboratory and computational scientists to translate scientific roadmaps into concrete products
• Ability to operate in a highly cross-functional environment where collaboration across disciplines is absolutely necessary

reputed company to haves:

• Experience in applying statistical methods and algorithms to large-scale datasets
• Experience in analyzing one or more of the following biological modalities: epigenomics, proteomics (including mass spectrometry), transcriptomics (RNA-seq).
• Track record of selflessly supporting and growing highly effective teams

Benefits and additional information:

The US reputed company reputed company of our reputed company salary for new hires is $188,275 - $288,500. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full reputed company of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, reputed company level, years and depth of relevant experience, and education. We invite you to reputed company out our career page @ reputed company.com/job-openings/ for additional company information.

reputed company is proud to be an equal-opportunity employer, and we value diversity. reputed company does not discriminate on the reputed company of race, reputed company, religion, marital status, age, national reputed company, reputed company, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

Originally posted on Himalayas