sema4的招聘动态

[anneng]

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.

We are looking for a talented Product Manager – Bioinformatics R&D to join our team. The Product Manager delivers and supports computational pipeline products that convert next-generation sequencing (NGS) data to insights about the molecular makeup of patient cells. These products are the core of sophisticated clinical diagnostics serving thousands of patients per week and enable high-volume research projects in human disease. As part of the Bioinformatics R&D department, the product manager will work closely with the scientific directors and the software engineers of pipeline products to define and execute the translation of scientific and engineering innovation into high-throughput analysis methods for a data sciences company. The product manager is responsible for clear definition and timely delivery of the pipeline products and their successful integration and deployment as part of Sema4’s data sciences platform built by collaborative inter-disciplinary teams (science, engineering, clinical, and business/product).

RESPONSIBILITIES

Own and manage the roadmap, feature backlog, work plan, and release schedule for a portfolio of NGS data pipeline products by closely working with scientific, clinical, business, product, scientific compute/IT, and project management teams to translate innovative bioinformatics R&D to high-performance production methods that serve business needs.
Translate business requirements for these pipelines to detailed technical requirements, designs, specifications, and work definitions for scientific and engineering teams.
Carry out detailed design and write technical specifications for features, workflows, data flows, application programming interfaces (APIs), file formats, data schemas, and data payloads used within these data pipelines as well as for communication with other products in the Sema4 analytics ecosystem.
Estimate product delivery time, effort, risks, and dependencies in collaboration with project management on other teams, as well as communicate status updates between all levels.
Communicate about complex technical/scientific problems between teams and stakeholders at all levels and work with them to solve, as well as generally facilitate inter-team communication by mocking up illustrative examples that help people from diverse backgrounds find a common understanding.
Support the data pipeline products for a multitude of users and data consumers at Sema4 by becoming a subject matter expert and serving as the products’ primary representative and contact person, including providing training.
Write and maintain clear business and technical documentation for target audiences from various backgrounds (scientific, software/IT, clinical, business, project management).
QUALIFICATIONS

Master’s or PhD degree in a relevant computational or biomedical field.
Minimum 1 year of relevant post-graduate experience, e.g. software product development, software engineering or programming, data science or analysis, bioinformatics/genomics research, systems engineering.
Excellent written and verbal communication, including via visualizations, on inter-disciplinary teams about complex technical topics.
Understand agile methodology and has experience with agile project management tools such as Jira.
Some programming experience, especially in Python, R, and SQL.
Experience with bioinformatics pipelines for data analysis, especially for variant calling (SNV/indel, fusion, structural variant, CNV, etc.) or genomic biomarker characterization (MSI, TMB, mutational signatures, etc.).
Proficient at multitasking.
Preferred: Experience with data and process standardization in bioinformatics (specifically, genomics and transcriptomics of humans), e.g. common variation databases (dbSNP, gnomAD, COSMIC), HGVS, ClinGen, common file formats (BAM, VCF, GFF, etc.) for NGS data and genomic and transcriptomic variation.
Preferred: Familiarity with cloud engineering of high-throughput, computationally intensive data processing pipelines and methods.
Preferred: Experience with WDL, CWL, or any domain-specific language for workflow modeling.

[anneng]

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.

We are looking for a talented Scientist- Bioinformatics R&D to join our team. The Bioinformatics Scientist leads translational bioinformatics and product development for NGS pipelines as part of the R&D Bioinformatics department. This scientist is an integral part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data from reproductive health, cancer, and other diseases. As part of a development team of engineers and scientists, this scientist will translate research prototypes into production-quality, scalable pipeline products used by a variety of clinical diagnostics and research projects across many teams at Sema4. This scientist will serve as an authority in these products to other users and teams and optimize them to serve Sema4 data science needs.

RESPONSIBILITIES

Design, develop, and test NGS pipelines for clinical tests and research projects in oncology, reproductive health, and other indications.
Lead or support bioinformatics projects to translate NGS results, as well as public and internal genomic, phenotype, and clinical/EMR datasets, to features and optimizations of clinical utility.
Analyze and integrate heterogeneous NGS data (somatic and germline SNVs, indel variants, copy-number alterations, structural variants, gene fusions, transcript isoforms, RNA abundance, RNA editing and modification) from diverse next-generation sequencing assays (Illumina, Ion Torrent, Pacific Biosciences; targeted panels, whole-exome sequencing, whole-genome sequencing, RNA-Seq; bulk and single-cell) and microarrays.
Work with wet labs and clinical teams to plan and design experiments to generate such data, and analyze this data.
Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs.
QUALIFICATIONS

PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline requiring strong computational and analytical skills supplemented with biology background
Hands-on experience working with NGS tools with high proficiency, especially for sequence analysis and expression analysis
Strong coding proficiency in R, Python, and SQL programming languages in a Linux environment.
Well-versed in the art of effective communication on interdisciplinary teams (scientists, programmers, and clinicians), especially graphical communication about high-complexity datasets to scientific audiences from different backgrounds.
High self-motivation, great ability to work in both multiple-task and independent fashions.
Good understanding of molecular, cell, and developmental biology, especially where relevant to cancer genomics, oncology, or endocrine neoplasms, and especially molecular cloning and NGS library preparation methodologies.
Developing code using distributed version control tools (especially Git) and software issue tracking/management systems (especially Jira).
Using or developing genome browsers or other tools for visualization of genomic datasets.