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Bioinformatics Scientist/Sr. Scientist
3 months ago
Company Description
LynxDx is a biotechnology company specializing in molecular diagnostics. Our non-invasive urine test, MyProstateScore 2.0, analyzes a comprehensive array of 18 gene transcripts, including T2:ERG, to predict the presence of clinically significant prostate cancer.
Role Description
As a Bioinformatics Scientist/Sr. Scientist at LynxDx, you will be responsible for translating molecular insights into predictors and classifiers for diagnostic and prognostic oncological tests. As a key member of R&D, you will play a leading role in developing, implementing, and validating bioinformatics analysis pipelines and disease risk models to support the company's product development. This position offers a unique opportunity to contribute to diverse projects, collaborate across teams (Clinical, Regulatory, IT, Medical Affairs) and make a significant impact on the development of groundbreaking diagnostic solutions. A successful candidate will be highly motivated, independent, and ready to adapt in our fast-paced and productive environment.
This is a full-time, on-site or hybrid role, located in Ann Arbor, MI, reporting to the Director of Research & Development.
Qualifications
- Ph.D. in Bioinformatics, Biostatistics, Computational Biology, Genetics, or a related field, with 1-5 years of relevant work experience
- Expertise in statistical methods and algorithms applicable to genomics data, including machine learning, Bayesian inference, regression analysis, and cluster analysis. Deep learning and AI based model development is preferred.
- Strong knowledge of R/, Python, and other programming languages used in data science and bioinformatics. Experience with data visualization tools/libraries such as ggplot, heatmaps, or dimension reduction techniques
- Experience with NGS data analysis, including RNA-seq, exome-seq, whole-genome and targeted sequencing, and methylation analysis.
- Experience in automated methods for design of primers and probes in multiplex assays (preferred).
- Excellent communication skills and a collaborative mindset, with experience working in cross-functional teams
