About AOA Dx Inc.
AOA Dx is developing the next frontier in early-stage cancer detection through its pioneering work in glycolipids and proprietary biomarker technology. AOA Dx is developing AKRIVIS GD™, an early-stage liquid biopsy test for ovarian cancer.
The role
AOA Dx is seeking a talented and experienced Data Scientist to join our Research and Development (R&D) team. The ideal candidate will have a strong background in Analytical Chemistry, Biochemistry, Bioinformatics, Computer Science, or a related field, with specific experience in mass spectrometry. You will play a pivotal role in leveraging your mass spectrometry expertise and data analysis skills to support the development of an early-stage diagnostic pipeline aimed at the detection of ovarian cancer.
As part of the AOA Dx R&D team, you will be responsible for analyzing complex mass spectrometry data and using your scientific knowledge to inform the development of diagnostic tools. This is a unique opportunity to contribute to impactful research in the field of cancer diagnostics.
Responsibilities
- Serve as a domain expert in mass spectrometry data analysis, providing support for R&D efforts related to the detection of ovarian cancer.
- Define and optimize LC-MS strategies for peak identification and validation of biomarkers associated with early detection of ovarian cancer.
- Contribute to the development and execution of the R&D publication and conference submission strategy.
- Present research findings and progress to internal teams and diverse stakeholders, ensuring clear communication of complex biological data.
- Stay current with the latest trends, research, and advancements in mass spectrometry and related fields.
Qualifications
- PhD in Analytical Chemistry, Biochemistry, Bioinformatics, Computer Science, or a related field. Candidates with an M.S. or B.S. degree with relevant expertise and experience will also be considered.
- A minimum of 3+ years of relevant experience working with mass spectrometry data.
- Experience working with metabolomics and lipidomics datasets
- Deep understanding of lipid and/or small molecule biology
- Strong statistical analysis and data analysis skills.
- Strong communication skills with the ability to translate complex biological data into concise, understandable insights for diverse audiences.
- Proven ability to manage multiple projects simultaneously, often under tight deadlines.
Preferred Qualifications
- In-depth knowledge of cancer biology, and proficiency with algorithmic and statistical methods applied to cancer diagnostics.
- Skilled in analyzing data in R and/or Python.
- Familiarity with Unix-based environments and high-performance computing environments.
- A strong external presentation and publication record is preferred.
Salary and Benefits
- Salary range: $116,000 - $125,000 per year, commensurate with experience and qualifications.
- Competitive benefits package, including:
- Unlimited PTO
- Group health, dental, and vision insurance
- 100% employee-sponsored life and disability benefits
- Monthly cell phone reimbursement
- 401k plan with employer match
How to Apply:
To be considered for this role, please apply via LinkedIn or send your resume to ...@aoadx.com with “Data Scientist, R&D” in the subject line.
AOA Dx is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We foster an environment where all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation or expression, age, disability or veteran status or any other characteristics protected by law.