adyn is on a mission to make scientific discovery more inclusive.
Our vision is to be earth's most inclusive and patient-centric personalized medicine company. We are living in the age of the “medical research gender gap”—a disparity that exists because the vast majority of biological literature is based on single sex studies of males. Research shows that achieving gender equality in science and medicine will improve our standard of care and long-term health outcomes, not just for women, but for everyone.
Our first product helps individuals identify the best birth control for their unique biology. We do this by integrating two biological readouts: genetics (read one time) and hormone levels (read multiple times throughout your life). By partnering with individuals, adyn provides medically actionable scientific insights and empowers them to proactively optimize their health—from birth control, to fertility, and beyond.
About the role
As a mission champion, our bioinformatician will help expand adyn’s product offerings by identifying and prioritizing scientific opportunities for R&D. This person is a leader able to build and mentor a team of top talent while collaborating with large industry players. Our bioinformatician is data obsessed and deeply interested in true prospective study, early diagnostics, pharmacogenomics, endocrinology, genomics, and longitudinal biomarkers.
In this role you are eager to build systems and strategy in green space. You will establish efficient pipelines for processing large volumes of data. You will use data visualization and spoken + written language to communicate scientific and medical findings to diverse audiences. You will collaborate with marketing, regulatory specialists, medical practitioners, and engineering teams. You aim to deliver a new standard of care in both virtual and traditional clinical care settings.
In the first month you will
- Learn adyn’s scientific approach and processes—including running sample data through our existing pipeline
- Architect bioinformatics workflows and guide the implementation and delivery of scalable systems
- Design effective data visualization strategies for visualization of processed data
In the first quarter you will
- Process consumer data
- Optimize pipelines for speed and automation
- Collaborate on building our knowledge base to prioritizing expanded R&D efforts
- Clearly communicate bioinformatics strategies and data interpretation to those not in the field such as internal stakeholders and consultants (e.g., marketing, regulatory specialists, medical practitioners, and engineering teams)
In the first year you will
- Use cutting-edge tools to identify novel associations in unique omics datasets
- Optimize our recommendation engine with novel data in collaboration with expert medical advisors
- Establish collaborative research projects with both academic and industry partners
- Share findings with the broader medical community by communicating externally to partners and scientific peers at conferences and in publications
- Draft research proposals for advancing scientific collaborations and internal R&D
- Entrepreneurial mindset
- Scientific integrity
- Assess replicability, clinical impact, and utility of genomic associations, polygenic risk scores, pharmacogenomics, and other biological markers across clinical phenotypes
- Github, AWS, Python, R, machine learning
- Population genomics experience using GWAS and/or NGS
If you're feeling excited about this job description we encourage you to apply. We're eager to meet people who believe in our mission and believe they can contribute in any number of ways.
Please email firstname.lastname@example.org.
[Careers] Bioinformatician: Last Name, First Name
Attach a resume. In the body of your email use 3 - 5 sentences to tell us how you exemplify any of our 6 values and another 3 - 5 sentences to explain the research contribution you’re most proud of.
Our work closes gaps created by decades of unequal access to medical research and healthcare. Our people practices (including hiring, compensation, and celebration) are similarly designed to close gaps in equity due to historical biases around gender, race, national origin or ancestry, socioeconomic status, age, LGBTQ+ identity, religion, conviction history, disability, neurodiversity, and genetic information.
Please note: applicants must be authorized to work in the U.S.