Scientist

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