Principal Scientist, Pharmacology

Nosis Bio
  • Alameda, California
  • Autofill and Review
10 days ago

Job Description

About Nosis Bio

Nosis Bio is a well-funded biotech startup focused on cell-specific delivery of RNA therapeutics. We are an all-scientist team of biologists, chemists, and machine learning experts who believe targeted extrahepatic delivery is the key to making RNA therapies the standard of care for a wide range of chronic diseases. We combine deep expertise in receptor biology, generative AI, and high-throughput in vivo data generation to accelerate the development of RNA therapeutics for new tissues. We are addressing a major unmet need across the industry and actively partner with pharmaceutical companies, research institutions, and biotech companies.

About the Role

We are seeking a Principal Scientist in Pharmacology to lead molecular biology strategy and execution for studies that characterize the pharmacokinetics, pharmacodynamics, biodistribution, target engagement, and activity of RNA therapeutic candidates. This hands-on scientific leadership role will own studies from experimental design through data interpretation and integrate molecular readouts with in vivo and program data to guide development decisions.

The ideal candidate will bring deep expertise in quantitative molecular biology, assay development, and analysis of complex biological samples, with a record of setting technical direction, solving ambiguous scientific problems, and working effectively across pharmacology, discovery biology, chemistry, and data science. Title will be commensurate with experience.

Scientific Responsibilities

Design and lead quantitative molecular biology studies supporting pharmacokinetic, pharmacodynamic, biodistribution, target engagement, and gene expression assessments

Develop, optimize, qualify, and oversee workflows for RNA and DNA extraction, cDNA synthesis, RT-qPCR, qPCR, ddPCR, and related molecular assays across programs

Establish robust sample-processing workflows across cells, tissues, and biofluids, including homogenization, lysis, cleanup, quantification, normalization, and RNase-free handling

Translate program questions into study strategies with appropriate controls, acceptance criteria, replication, timelines, and sample requirements

Analyze and integrate complex datasets, including relative and absolute quantification, assay performance metrics, and relationships among molecular, exposure, efficacy, and other pharmacology readouts

Lead troubleshooting and root-cause investigations for assay and instrument performance, and implement durable improvements to experimental workflows

Establish and maintain SOPs, assay qualification summaries, data analysis templates, and training materials that support reproducible execution across the team

Ensure accurate, real-time documentation in the electronic lab notebook, including protocols, raw data, deviations, quality-control decisions, and scientific interpretation

Coordinate cross-functionally so sample generation, handling, analysis, and reporting remain aligned with study objectives and program timelines

Present data with clear context, controls, conclusions, and recommendations, and use the results to guide experimental plans and program decisions

Leadership Responsibilities

Lead quantitative molecular biology strategy across one or more pharmacology programs, aligning assay plans with biological questions, technical feasibility, and program priorities

Own molecular assay platforms end to end, including capability building, performance tracking, risk identification, resource planning, and continuous improvement

Identify and implement new technologies, analytical approaches, and external capabilities that expand the pharmacology toolkit

Mentor scientists and research associates, providing technical guidance and maintaining a high bar for rigor, reproducibility, documentation, and scientific interpretation

Serve as a scientific leader across functions and external collaborations, integrating molecular and in vivo evidence into program strategy and scientific communications

What We Are Looking For

PhD in Molecular Biology, Biochemistry, Genetics, Pharmacology, Bioengineering, or a related field, or an equivalent combination of advanced training and relevant industry experience

Deep hands-on experience with quantitative PCR methods and molecular assay development, including work with complex tissue or biofluid samples

Demonstrated ability to design pharmacology studies, interpret pharmacokinetic and pharmacodynamic readouts, and integrate molecular results with cross-functional datasets

Experience with RNA therapeutic development including preclinical pharmacology data preparation and presentation for scientific and regulatory interactions.

Ability to work on site in our laboratory at Research Park at Marina Village in Alameda, California

Numbers & Facts

LocationAlameda, California

Skills

  • Analysis Skillsunmatched
  • Artificial Intelligence (AI)unmatched
  • Assay Developmentunmatched
  • Assay Methodsunmatched
  • Assaysunmatched
  • Biochemistryunmatched
  • Bioengineeringunmatched
  • Biological Assayunmatched
  • Biologyunmatched
  • Biotech and Pharmaceuticalunmatched
  • Chemistryunmatched
  • Chronic Diseaseunmatched
  • Clinical Researchunmatched
  • Continuous Improvementunmatched
  • Cross-Functionalunmatched
  • DNAunmatched
  • Data Analysisunmatched
  • Data Scienceunmatched
  • Data Setsunmatched
  • Documentationunmatched
  • Droplet Digital PCR (ddPCR)unmatched
  • Experiment Designunmatched
  • Geneticsunmatched
  • High Throughputunmatched
  • Identify Issuesunmatched
  • Laboratory Notebookunmatched
  • Leadershipunmatched
  • Machine Learningunmatched
  • Mentoringunmatched
  • Molecular Biologyunmatched
  • Performance Analysisunmatched
  • Performance Metricsunmatched
  • Pharmacodynamicsunmatched
  • Pharmacokineticsunmatched
  • Pharmacologyunmatched
  • Pharmacology Researchunmatched
  • Pre-Clinical Developmentunmatched
  • Presentation/Verbal Skillsunmatched
  • Problem Solving Skillsunmatched
  • Quality Controlunmatched
  • Real-time PCR (qPCR)unmatched
  • Regulationsunmatched
  • Replication and Remote Mirroringunmatched
  • Research Laboratoryunmatched
  • Risk Analysisunmatched
  • Root Cause Analysisunmatched
  • Scientific Publicationsunmatched
  • Scientific Researchunmatched
  • Standard Operating Procedures (SOP)unmatched
  • Standards of Careunmatched
  • Technical Leadershipunmatched
  • User Documentationunmatched

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