Prime Genomics is an early-stage biotech startup developing the next generation of powerful, genomics-based diagnostics. Our innovative and powerful platforms will detect cancer early and noninvasively, allowing for widespread adoption. We are looking for motivated, skilled, enthusiastic, and highly collaborative super-stars to join our team. The company founders are serial entrepreneurs in genetics, genomics, and nucleic acid testing, who have been at the forefront of the biotechnology industry for more than 20 years. This is a great opportunity to have a big impact at a growing startup in an important field.
Jobs available:
a) Clinical Study Lead who understands the radiology, epidemiology, biology, pathology and/or genomics of breast cancer. A successful candidate has managed a clinical research study and/or clinical sites and also understands breast cancer, its testing and pathology and breast imaging methods. The candidate will lead our clinical program including the clinical sites, clinical database, pathology and radiology reporting and classification, and management of the patient cohorts and participating clinicians. They would also set up a patient and tumor registry online to speed the process of scaling this and future studies. Ideally this is a Director level person with either a PhD or MD but a more junior and very bright and capable person with >5 years of experience and a Bachelors Degree could be considered. Excellent communication and quantification skills and work with clinicians essential.
b) An R&D Genomics Scientist. This person will be an essential part of the R&D team to carry out R&D studies on RNA, DNA and quantification studies. Ideally the candidate has RNA profiling experience with RNAseq, a background in a variety of methods for nucleic acid testing, and has excellent laboratory skills and careful experimental design in studies with RNA and DNA profiling including with patient samples (ie, not solely in tissue culture cells or animals). An ideal candidate will have prepped samples from large clinical cohorts, used automated and manual genomic systems, and understand how to design experiments using standard curves, RNA and DNA quantification equipment, and will have an appreciation for and ability to design elegant optimization studies. This is an on-site laboratory position in Mountain View and requires good written and verbal communication. Bachelors degree in genomics or related area and industry or high throughput genomics experience required.
c) RNA cancer biologist (See attached JD)
This is an open position since June 2020 for an expert in the underlying pathways, genes and RNAs with underlying roles in breast cancer etiology and progression. The ideal candidate will have studied the RNA dynamics, gene mutations and pathways that cause cancer, and understand and make routine use of, the genomic and transcriptional databases that are used to link genes, mutations and pathways. This is a fairly senior person who could come in at a VP or Director level, and who has a postdoc or 2-3 year position in the past studying animal models, genomic tumor profiling, and/or cancer pathways. Ideally this person has done a large expansive study on RNA profiling including with RNAseq technology, and is excited to be a key part of our team and work closely with the Computational Biology group. Great communication and teamwork/leadership skills.
d) Sample prep genomics expert for clinical samples.
The candidate will have developed and optimized sample prep protocols for clinical specimens used in diagnostics or in other commercial reagent systems. The ideal candidate will have carried out detailed studies that assess the effects of variation in clinical and biological samples, contaminants, devices, and preservative systems. This is a detail oriented scientist who loves optimization of sample prep methods to achieve the most consistent sample prep possible, and who understands how to assess multiple variables simultaneously. There is the absolute requirement of solid skills in good experimental design, statistical analysis, and deconvolution of biological and clinical variables. Good communicator but excellent experimentalist. Skills in chemistry, DNA, RNA, and protein quantification.
a) Clinical Study Lead who understands the radiology, epidemiology, biology, pathology and/or genomics of breast cancer. A successful candidate has managed a clinical research study and/or clinical sites and also understands breast cancer, its testing and pathology and breast imaging methods. The candidate will lead our clinical program including the clinical sites, clinical database, pathology and radiology reporting and classification, and management of the patient cohorts and participating clinicians. They would also set up a patient and tumor registry online to speed the process of scaling this and future studies. Ideally this is a Director level person with either a PhD or MD but a more junior and very bright and capable person with >5 years of experience and a Bachelors Degree could be considered. Excellent communication and quantification skills and work with clinicians essential.
b) An R&D Genomics Scientist. This person will be an essential part of the R&D team to carry out R&D studies on RNA, DNA and quantification studies. Ideally the candidate has RNA profiling experience with RNAseq, a background in a variety of methods for nucleic acid testing, and has excellent laboratory skills and careful experimental design in studies with RNA and DNA profiling including with patient samples (ie, not solely in tissue culture cells or animals). An ideal candidate will have prepped samples from large clinical cohorts, used automated and manual genomic systems, and understand how to design experiments using standard curves, RNA and DNA quantification equipment, and will have an appreciation for and ability to design elegant optimization studies. This is an on-site laboratory position in Mountain View and requires good written and verbal communication. Bachelors degree in genomics or related area and industry or high throughput genomics experience required.
c) RNA cancer biologist (See attached JD)
This is an open position since June 2020 for an expert in the underlying pathways, genes and RNAs with underlying roles in breast cancer etiology and progression. The ideal candidate will have studied the RNA dynamics, gene mutations and pathways that cause cancer, and understand and make routine use of, the genomic and transcriptional databases that are used to link genes, mutations and pathways. This is a fairly senior person who could come in at a VP or Director level, and who has a postdoc or 2-3 year position in the past studying animal models, genomic tumor profiling, and/or cancer pathways. Ideally this person has done a large expansive study on RNA profiling including with RNAseq technology, and is excited to be a key part of our team and work closely with the Computational Biology group. Great communication and teamwork/leadership skills.
d) Sample prep genomics expert for clinical samples.
The candidate will have developed and optimized sample prep protocols for clinical specimens used in diagnostics or in other commercial reagent systems. The ideal candidate will have carried out detailed studies that assess the effects of variation in clinical and biological samples, contaminants, devices, and preservative systems. This is a detail oriented scientist who loves optimization of sample prep methods to achieve the most consistent sample prep possible, and who understands how to assess multiple variables simultaneously. There is the absolute requirement of solid skills in good experimental design, statistical analysis, and deconvolution of biological and clinical variables. Good communicator but excellent experimentalist. Skills in chemistry, DNA, RNA, and protein quantification.
RNA cancer biologist job description: We are seeking a talented, motivated, and curious scientific leader with deep knowledge and expertise in cancer biology, cancer pathway analysis, and molecular genomics of cancer to join our R&D organization. Various levels of seniority will be considered in this role; the ideal candidate will be skilled at leveraging their knowledge and insights in cancer biology and diagnostics field in order to validate and prioritize high-value disease markers in our large-scale clinical and genomic data cohorts. Strong analytical skills and an ability to think critically are essential for this leadership role. Must be adaptable, hands-on, and thrive in a startup environment.
Job Responsibilities:
- Develop experimental and analytical strategies to prioritize and validate key cancer genomics pathways and markers in large genomic data cohorts
- Play a key role in discovery and clinical validation efforts for novel cancer biosignatures
- Formulate and test hypotheses about the role of predictive biomarkers in cancer disease initiation, development, progression and subtype heterogeneity
- Participate in strategic discussions and represent cancer biology to senior staff and participate in diagnostics product development
- Integrate biological and genomic data from multiple sources to gain insights towards identification of informative biomarkers
- Stay ahead of advances in the field of breast cancer biology
Job Requirements:
- Ph.D. in Cancer Biology, Cancer Genomics, Cell Biology, or related field
- Excellent understanding of cancer biology and pathways, oncogenesis and cancer
genomics, including current cancer diagnostic assays and their use - Strong track record in biomarker discovery using genomic and/or proteomic approaches
- Proven ability to work with and analyze complex genomic and clinical datasets, including
hands-on experience analyzing and mining public and private genomics data cohorts - Strong foundation in statistical analysis
- Experience with methodologies for analysis of cell-free nucleic acids highly desirable
- Excellent data analysis and visualization skills, and oral and written communication skills
- Data-driven with an ability to adapt and think outside the box
Prime Genomics is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status.
