Scientist
Department: Scientific Operations
Employment Type: Full Time
Location: San Francisco, CA
Compensation: $145,000 - $160,000 / year
Description
As a Scientist on our Delivery team, you will perform scientific and data analysis while helping to drive our client projects.
At Enable, you will:
- Perform image pre-processing and analysis to extract relevant features or regions of interest, such as enhancement, filtering, and segmentation.
- Develop and implement analysis algorithms or software tools for quantitative analysis, such as measuring object properties, cell enumeration, or biomarker detection.
- Generate visual representations such as graphs, charts or heatmaps to facilitate data interpretation and communication of results
- Analyze data to draw meaningful insights, identify patterns, and generate hypotheses for further investigation
- Run and curate bioinformatic reports to be presented to our clients
- Implement quality control measures to ensure the accuracy and reliability such as validating analysis algorithms or verifying annotations
- Document analysis methodologies, results and findings in scientific reports or publications
- Stay up-to-date with the latest developments in data processing, data analysis, and relevant technologies to continually improve data analysis workflows
- Provide technical support to interdisciplinary teams and contribute to cross-functional projects
- Support business development strategy and processes
- Play a key leadership role in refining operational processes, systems, and infrastructure increasing performance, and enhancing employee and client experiences
- Review, analyze, and address gaps in service excellence, policies, and/or procedures proactively; identify issues and implement solutions
- Lead, motivate, and support the team within a time-sensitive and demanding environment
- Provide leadership to the service line, while fostering a culture of accountability, professional development, high-performance, and ethical behavior
Who you are:
- PhD in Computational Biology, Systems Biology, Immunology, Molecular Biology, Biostatistics, Bioengineering, or similar; or equivalent professional experience
- Demonstrated experience in generating and analyzing high-parameter biological datasets (including proteomics, transcriptomics, functional genomics, and/or imaging datasets)
- Demonstrated experience and skills in image and data processing and analysis techniques, such as image enhancement, segmentation, feature extraction, and quantification
- Proficient in programming languages commonly used in image data analysis, such as Python, R, MATLAB, or ImageJ/FIJI
- Familiarity with biomedical imaging techniques, such as microscopy, radiography, or other imaging modalities, and understanding of related image data formats
- Excellent analytical and problem-solving skills, with the ability to analyze complex data and draw meaningful insights
- Strong attention to detail and ability to implement quality control measures for accurate and reliable data analysis
- Effective communication skills, both written and verbal, with the ability to present complex technical concepts to interdisciplinary teams and stakeholders
- Team player with the ability to work independently and collaboratively in a team-oriented environment
- Prior experience in biotechnology, pharmaceuticals, or life sciences research
What We Do
At Enable Medicine, we index biological data into highly detailed maps of human disease. This atlas is utilized to guide novel drug target discovery, identify biomarkers of therapeutic response, and develop optimal treatment strategies. Our lab in Menlo Park, California, generates high-parameter biological datasets, and our cloud-based operating system allows researchers to organize, process, query, and analyze this data at scale. Taken together, our platform unlocks the ability to search biology, where complex questions about human disease can be asked and answered for the first time.
We build and provide these capabilities to our network of leading academic institutions and pharmaceutical companies around the world. Our collaborative research spans numerous indications, with a core focus on unmet needs in oncology and autoimmune diseases. We advance science by accelerating data generation, methods development, research insights, and high-impact publications. Our interdisciplinary team of scientists, engineers, researchers, and investors focuses on decoding biological systems to make drug discovery, development, and patient care more deterministic. Come join us on our mission to decipher biology and meaningfully improve the way patients are treated.
