Only the job description changed.
| Previous Job Description | Current Job Description | ||||
|---|---|---|---|---|---|
| n | 1 | Job Description: | n | 1 | Job Function Summary: |
| 2 | Job Function Summary: Involves developing and utilizing computational tools and systems to analyze a | ||||
| > | nd interpret biological or other research data. Utilizes and develops algorithms, computational tech | ||||
| > | niques, and statistical methodologies. Helps in the design of new experiments. Implements end-user n | ||||
| > | eeds in database searching and integration. Assists with maintaining the computational infrastructur | ||||
| > | e, local databases, and tracks the flow of samples and information for large-scale studies. Develops | ||||
| > | analysis tools for use by lab personnel and for public dissemination. Custom Scope: Uses skills as | ||||
| > | a seasoned, experienced bioinformatics programming professional with a broad understanding of comput | ||||
| > | ational algorithms and systems; identifies and resolves a wide range of issues / software bugs. Demo | ||||
| > | nstrates good judgment in selecting methods and techniques for obtaining solutions. Operates indepen | ||||
| > | dently. Demonstrates proficiency with modern AI coding frameworks, for example, Claude, Codex, Curso | ||||
| > | r, etc., as well as traditional SQL and Python coding. Demonstrates proficiency with modern machine | ||||
| > | learning toolkits and approaches for classification tasks using large scale datasets, including tra | ||||
| > | nscriptomics, and proteomics, demonstrated proficiency using, evaluating, and optimizing protein mod | ||||
| > | eling and folding approaches, including Rosetta, AlphaFold3, and others. Demonstrated track record o | ||||
| > | f scholarly excellence. | ||||
| 3 | 2 | ||||
| t | 4 | Qualifications: | t | 3 | Involves developing and utilizing computational tools and systems to analyze and interpret biologic |
| > | al or other research data. Utilizes and develops algorithms, computational techniques, and statistic | ||||
| > | al methodologies. Helps in the design of new experiments. Implements end-user needs in database sear | ||||
| > | ching and integration. Assists with maintaining the computational infrastructure, local databases, a | ||||
| > | nd tracks the flow of samples and information for large-scale studies. Develops analysis tools for u | ||||
| > | se by lab personnel and for public dissemination. | ||||
| 5 | Required: - Bachelor's degree in biological science, computational / programming, or related area an | 4 | |||
| > | d / or equivalent experience / training. - Minimum 3 years of related experience - Thorough knowledg | ||||
| > | e of bioinformatics methods, nextgen sequencing processing, applications programming, web developmen | ||||
| > | t and data structures. - Thorough knowledge of Python bioinformatics programming design, modificatio | ||||
| > | n and implementation. - Thoroughly proficient with design, implementation, and management of SQL rel | ||||
| > | ational databases, web interfaces, and linux based operating systems. - Thoroughly proficient with m | ||||
| > | odern LLM application development tools. - Thorough knowledge of protein folding algorithms, includi | ||||
| > | ng AlphaFold3and deploying packages on different hardware platforms, such as local systems and/or HP | ||||
| > | Cs - Thorough knowledge of machine learning techniques for building predictive classifiers, includin | ||||
| > | g logistic regression methods, random forest, neural networks, on multi-modal data, including mass s | ||||
| > | pectrometry spectra, single cell sequencing, B cell repertoire sequencing, phage immunoprecipitation | ||||
| > | , yeast display, and similar. - Proficient knowledge of basic cell biology, genomics, and basic immu | ||||
| > | nology. - Self-motivated, work independently or as part of a team, able to learn quickly, meet deadl | ||||
| > | ines, and demonstrate problem-solving skills. - Thorough knowledge of genomic alignment algorithms, | ||||
| > | including Diamond, Minimap2, STAR. - Conceptual familiarity with PhIPseq, yeast display, and antigen | ||||
| > | screening methods. Preferred: - Ability to interface with management on a regular basis. - Doctoral | ||||
| > | degree in biological science, computational / programming, or related area and / or equivalent expe | ||||
| > | rience / training. Ideally in machine learning applied to biomedicine areas. Problem Solving: · Give | ||||
| > | n a large biologic dataset derived from cases and controls, construct and train a machine learning c | ||||
| > | lassifier, test performance on held out data, and derive key features driving classification perform | ||||
| > | ance · Construct new query interfaces using APIs to commercial AI systems for analysis of large scal | ||||
| > | e datasets, including agentic systems for automated data analysis and hypothesis generation · Create | ||||
| > | a new client/server database for antigen display data, with data analysis and visualization tools. | ||||
| > | · Analyze B or T Cell receptor repertoire sequencing data for clonal expansion · Model antigen / ant | ||||
| > | ibody interactions using AlphaFold3 Less frequent and more complex problems solved by the employee: | ||||
| > | · Troubleshooting SQL database issues, designing new web server frameworks. · Build new databases as | ||||
| > | needed. • Building bespoke visualization tools for new datasets Problems/situations that are referr | ||||
| > | ed to this employee's supervisor: · Scientific strategic direction questions · Collaboration strateg | ||||
| > | y and agreements · Acquisition of new patient cohorts for data production | ||||
| 5 | Custom Scope: | ||||
| 6 | |||||
| 7 | Uses skills as a seasoned, experienced bioinformatics programming professional with a broad underst | ||||
| > | anding of computational algorithms and systems; identifies and resolves a wide range of issues / sof | ||||
| > | tware bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. | ||||
| > | Operates independently. Demonstrates proficiency with modern AI coding frameworks, for example, Clau | ||||
| > | de, Codex, Cursor, etc., as well as traditional SQL and Python coding. Demonstrates proficiency with | ||||
| > | modern machine learning toolkits and approaches for classification tasks using large scale datasets | ||||
| > | , including transcriptomics, and proteomics, demonstrated proficiency using, evaluating, and optimiz | ||||
| > | ing protein modeling and folding approaches, including Rosetta, AlphaFold3, and others. Demonstrated | ||||
| > | track record of scholarly excellence. | ||||