Scientist Product Development

Accelerate drug discovery through ASCEND platform

Collaborate with multidisciplinary team for innovative solutions

Lead R&D for early cancer detection

Develop novel computational methods

Advance non-invasive genetic testing

Enhance prenatal screening solutions

Advance innovative healthcare solutions

Focus on patient-first outcomes

Contribute to AI model training with Biology expertise and Python programming

Review and enhance AI-generated code for accuracy in biology-related computations

Develop diagnostic test analysis pipelines

Use statistical models for new algorithms

Develop, maintain, and scale bioinformatics pipelines

Architect automation initiatives for pipeline improvement

Architect and implement data pipelines

Integrate and normalize data sources

Develop bioinformatics software and ML-driven solutions

Collaborate with diverse teams for innovative projects

Design and conduct multiomic analyses.

Develop and maintain bioinformatics tools.

Architect and produce revenue metrics across the customer lifecycle.

Perform quantitative analyses to identify growth opportunities.

Normalize plasma samples and extract nucleic acids.

Load libraries onto NGS platforms.

Develop predictive models for healthcare data.

Identify cost reduction opportunities in care.

Design and execute oncology assays.

Independently perform cfDNA extraction and sequencing.

Manage post-sale technical relationships with customers.

Guide customers through cloud and cybersecurity solutions.

Execute amplicon sequencing workflows.

Perform quality control on NGS libraries.

Join our innovative team as a Senior Research Associate in Platform Biology, where you'll lead genome engineering experiments to validate therapeutic targets. With a focus on cutting-edge technologies and collaborative research, this role offers the chance to contribute to our internal pipeline through barcoded pooled screening and assay development. Ideal candidates will have a strong background in molecular and cell biology, along with hands-on experience in pharma or biotech. This is an exciting opportunity to be at the forefront of drug discovery in a supportive and flexible work environment.

Conduct barcoded pooled screening assays.

Join a leading pharmaceutical company as a Biostatistics Director in Medical Affairs, where you will spearhead statistical and programming efforts for medical publications and collaborate on innovative studies. With a focus on strategic publication planning and timelines, this role offers the opportunity to impact real-world evidence generation. The ideal candidate will possess a strong background in statistics or biostatistics, with a proven publication record and experience in the pharmaceutical industry. This position not only offers market-leading compensation but also excellent benefits, making it an exciting opportunity for skilled professionals.

Guide statistical design and analysis for studies.

Join a pioneering healthcare company as a Machine Learning Scientist focused on Multimodal AI. In this role, you will design and evaluate cutting-edge deep learning models across histopathology and genomics. You will collaborate with clinical and technical teams to develop scalable ML pipelines on AWS and gain insights from model outputs. This position offers an exciting opportunity to make a tangible impact in the medical field while working with state-of-the-art technologies.

Develop multimodal AI architectures integrating imaging and molecular data.

Join a dynamic team as a Research Scientist in Life Sciences, where you'll build innovative tools to enhance scientific workflows. This role involves collaboration with product and design teams, as well as external biotech and pharmaceutical partners. You will leverage your expertise in machine learning and software engineering to solve complex biological problems, making a tangible impact in the field. This is an exciting opportunity to contribute to cutting-edge research while enjoying competitive benefits and a flexible work environment.

Develop evaluation benchmarks for biology.