Scientist R&D – Immunohistochemistry (IHC) & Histology

POSITION SUMMARY: The Senior Design Transfer Scientist will lead and support the transition of In Vitro Diagnostic (IVD) Next-Generation Sequencing (NGS) assays from R&D to Operations. This role is responsible for planning, executing, and documenting all design transfer activities while ensuring strict compliance with regulatory and quality standards. The ideal candidate will balance hands-on laboratory work, data analysis, and documentation. As a cross-functional collaborator, you will interface with multiple functional groups to drive project deliverables to completion in a dynamic, fast-paced environment. PRIMARY RESPONSIBILITIES: Design Transfer & Validation: Plan and execute process validations (IQ/OQ/PQ), stability studies, and study protocols; perform data analysis and author final reports Test Method Development: Support test method development, characterization, and Test Method Validation (TMV), including the generation of manufacturing specifications Quality & Risk Management: Lead Risk Management activities (including FMEAs) to identify and mitigate product risks; establish and maintain Design History Files (DHF) and Device Master Records (DMR) Sustaining & Change Control: Lead change control activities to evaluate and determine the impact of design changes to on-market products CAPA & Troubleshooting: Investigate product or process deviations, perform root cause analysis, and implement Corrective and Preventive Actions (CAPA) Cross-Functional Collaboration: Partner with Supply Chain to establish raw material and consumable pipelines; present status updates, data, and technical proposals to cross-functional stakeholders EDUCATION & EXPERIENCE: PhD. in Molecular Biology, Cell Biology, Biotechnology, Biochemistry, or a related scientific field with 4+ years of relevant industry experience; OR Master’s degree in the fields above with 7+ years of relevant industry experience; OR Bachelor’s degree in the fields above with 10+ year

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Staff Machine Learning and Bioinformatics Scientist to help design the models at the heart of that effort. You’ll work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. Your research will advance the state-of-the-art and you will drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Lead the development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data Build interpretable, well-calibrated models, setting the standard for uncertainty estimation and reproducibility across the group Prototype, test and productionize ML models using scalable infrastructure Own key technical deliverables within larger projects and help shape the team’s research roadmap Collaborate closely with molecular biologists and clinical experts on design and analysis of experiments and validation studies Keep raising the bar through code and design reviews across projects Translate complex results into clear stories for technical and non-technical audiences Mentor junior scientists and champion a culture of curiosity, collaboration, and scientific excellence QUALIFICATIONS: PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD Hands-on experience developing novel statistical / ML analysis methods applied to complex biological data Proven track record of innovation and technical leadership in complex method development projects Expertise in deep learning and multimodal foundation models Proficient in Python and its scientific computing ecosystem Scientific rigor throughout the R&D process, with eagerness to teach and learn new computational methods and biology Excellent co

Natera is seeking a Staff Scientist to join our Early Research Team. The primary focus of this role is to independently lead the research and development of novel next-generation sequencing (NGS) technologies. In this role, you will lead projects from ideation to prototype, specifically designing and optimizing high-complexity NGS methods to advance our oncology diagnostic portfolio. Success in this role requires a deep technical foundation in molecular biology and NGS plus a proven track record of industrial R&D leadership. Primary Responsibilities: Lead and manage the development of innovative NGS-based diagnostic assays from feasibility through optimization. Define project goals and plans with input from stakeholders and manage multiple project streams in parallel. Independently design and execute complex laboratory experiments; analyze and interpret results to guide research direction. Coordinate cross-functional efforts to meet milestones and collaborate closely with bioinformatics, statistics, and data science teams to ensure robust experimental design and data analysis. Mentor and guide junior scientists while promoting scientific rigor and best practices. Author high-quality protocols, technical reports, and study documentation. Communicate progress regularly to stakeholders, including departmental meetings and senior leadership. Contribute to risk management, strategy development, and continuous improvement of scientific workflows. Qualifications: Ph.D. in molecular biology, genomics, or a closely related field. Minimum 8 years of relevant industry experience, or 2+ years postdoctoral research with 6+ years in industry. Proven experience in designing and advancing NGS-based diagnostics, preferably in the field of oncology. Required Expertise: A strong technical foundation in molecular biology or chemistry. Deep mechanistic knowledge of NGS library preparation chemistry. Demonstrated ability to independently design and execute complex experiments (solid

Natera is seeking a Bioinformatics Scientist to join our Bioinformatics Research & Development team with a focus on cancer recurrence monitoring. Natera’s mission is to change the management of disease worldwide with a focus on reproductive health, cancer, and organ transplantation. The ideal candidate should have experience in sequencing data analysis, genomics, and/or algorithm development. This individual will analyze large and complex high-throughput cancer genomics datasets. They will also assist in developing novel computational methods, and integrating frameworks developed by our R&D team. PRIMARY RESPONSIBILITIES: Analyze high-throughput DNA sequencing datasets utilizing understanding of cancer biology and genomics. Help implement and validate novel algorithms and statistical methods. Collaborate with molecular biologists and other bioinformatics scientists to answer biological questions Contribute to experimental design and quality control Help develop tools and end-to-end bioinformatics pipelines QUALIFICATIONS: Bachelor's degree in bioinformatics, computational biology, computer science, engineering, molecular biology, or a related field; Master's degree preferred Minimum of 2 years of hands-on experience doing high-throughput genomic sequencing analysis KNOWLEDGE, SKILLS, AND ABILITIES: Experience doing NGS data analysis (e.g. mapping, variant calling, etc.) Strong programming skills in a scientific programming language, Python strongly preferred Knowledge of genomics, with a preference for familiarity with cancer biology Familiarity with public databases such as TCGA, COSMIC, or OncoKB Experience with Linux command-line tools and shell scripting Ability to conduct hypothesis-driven research, visualize data, and effectively communicate results Ability to collaborate effectively, self-motivated, and detail-oriented PREFERRED SKILLS: Background in ML and statistics Experience with WGS Compensation & Total Rewards This range reflects a goo

POSITION SUMMARY Works closely with Senior Manager to ensure company, department, and team goals are met. PRIMARY RESPONSIBILITIES • Monitors workflow and ensures production goals and deadlines are met (e.g. TAT, SLA) • Engages in future planning and scales employees and equipment appropriately • Gathers and monitors metrics on production deadlines, efficiency, scrap waste, and error rates • Monitors the quality control/assurance programs, test results, and equipment (if applicable) • Uses metrics in decision-making and to drive changes across the team (e.g. cost reduction, quality improvement) • Manages sufficient headcount levels to meet production goals by proactively driving the interview process and managing employee PTO and overtime when necessary. • Refines current lab process through continuous improvement projects. • Oversees team specific lab operation. • Go-to person when senior manager is not present; go-to person for knowledge of process and product. • Responsible for seamless transition of automation and test improvement/additions into production workflow • Analyzes and troubleshoots lab processing errors; provides recommendations on how to proceed to lab director, scientists and statisticians as necessary • Supports Supervisors in close out of NCRs. • Responsible for the initiation and close out of CAPAs in a timely manner. • Ensures departmental lab compliance for regulatory bodies • Ensures tests are being completed according to approved procedures. • Maintains an organized, safe and efficient work area for the team at all times. • Actively interacts with interdepartmental teams such as OPS, Accessioning, Engineering, Stats, R&D, and Support. • Handles employee issues: complaints, disciplinary actions, etc. Collaborates with Senior Manager and/or Human Resources to resolve issues. • Explains (as much as possible) reasoning behind instructions/processes given/changes that are made. If necessary, explains to team why certain ideas cannot be implem

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Senior or Lead Bioinformatics Scientist to join the team building the technology at the heart of that effort. You will work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. You will help advance the state-of-the-art and drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Develop and validate new algorithms to analyze large multimodal epigenomic datasets Drive research analyses through implementation, testing and performance evaluation, including developing new features within existing pipelines Work with sequencing and clinical data from large cohorts, ensuring data integrity and quality control Partner with molecular biologists and clinical scientists to solve challenging, open-ended problems Visualize results and present complex findings to both technical and non-technical audiences Contribute to the team’s standards for code quality and reproducibility QUALIFICATIONS: Ph.D. in Bioinformatics, Computer Science, Biology, or a related field; alternatively a Bachelor’s or Master’s degree with at least 4 years of professional experience Track record developing and validating analysis workflows for high-throughput sequencing data Experience applying and evaluating statistical and ML methods to large datasets Strong quantitative reasoning and data analysis skills, applied effectively to real scientific problems. Software development experience, including proficiency in Python and its scientific computing ecosystem Fluent using Linux command-line tools and cloud computing environments Strong verbal and written communication skills Preferred Experience Working knowledge of DNA methylation and other epigenomic data Experience with cell-free DNA and liquid biopsy samp