Job Details
Job Title: Bioinformatics Engineer I PT Hrly
Number of Positions: 1
Remaining Positions: 1
Client: CHP
State: Pennsylvania Philadelphia 19146
Date Created: 03/12/2024
Date Pending: 03/19/2024
Schedule Notes
Hybrid, Primarily Remote Occasional Onsite PT, Minimum 20 Hrs/ Week Average 25/ Week M-F, Normal Working Hours 9-5 EST (Flexible Working Hours Coordinated with the Department Staff) Extension/ Temp to Perm Possible - dependent on grant funding, staffing, approval, dept, performance, etc The grant is open for renewal towards the end of the year, if additional funding is provided there could be a discussion of making this a permanent position
Required
Skills:
- SPECTROMETRY
- CLONING
- GENOMICS
- DATA MANAGEMENT
- CELL CULTURE
Job Description
*See full job description attached*
The Bioinformatics Engineer I position is an entry-level position in the support of computational environments focused on the management, transfer, formatting, and general processing of complex data types associated with genomics and proteomics. Whereas the Bioinformatics Scientist is primarily focused on the outcome of an analysis in terms of the scientific endpoint, the Bioinformatics Engineer is primarily focused on the outcome of an analysis in terms of validity, efficiency, and robustness. The focus of the position is basic systems implementation of data manipulation and analysis pipelines, applications, general hardware configurations, and bioinformatics-specific hardware configurations. Bioinformatics programming activities are also included. The Bioinformatics Engineer I primarily operates in a local environment as opposed to enterprise-level. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a high degree of supervision with low latitude for independent judgment. The Bioinformatics Engineer I will be introduced to the concepts of best practices in scripting, pipeline workflow development, hardware and software configurations, change controls, quality, sustainability, and documentation. The Bioinformatics Engineer I is primarily focused on supporting bioinformatics analytical groups and individuals as an engineering resource.
Job Responsibilities
Computational Environment Development and Optimization (70%): Contribute to the maintenance and development of bioinformatics tool portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support.
Implement and maintain commercial and open-source software for common bioinformatics and genomics data analysis.
- Work with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflows.
- Maintain pipelines by staying current with evolving algorithms and standards and incorporating into pipeline
- Execute robust development testing for commonly used applications such as data processing pipelines
- Optimize performance of applications by working with scientific computing and information systems groups to optimize hardware/software parameters
- Define and prioritize requirements for pipeline development over time to incorporate new technologies and platforms via functional communication with bioinformatics group members and bioinformatics end users
- Identify appropriate open-source and commercial products that serve needs of pipeline and/or customized analyses of end users.Implement, update and maintain locally stored data resources required for various analysis tasks.
- Provide efficient data management support including file transfers, data formatting and manipulation, and basic integration of data from a variety of experimental and reference resources.
Strong UNIX/LINUX expertise required.
Experience With R Strongly Preferred.
Experience with Python, Perl, or other languages preferred.
Experience With Pipeline Or Workflow Development Frameworks Preferred.
Experience with data management preferred.
Familiarity with open source and commercial bioinformatics resources and software preferred.
Experience With Genomic Data Analysis Preferred.
Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture preferred.
Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is preferred.
Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is preferred.
Accountability and attention to timelines.
Excellent organization and communication skills with an emphasis on strong presentation skills.
Ability to work in a team environment.
Required Education: Bachelor's Degree
Preferred Education, Experience & Cert/Lic
Preferred Education: Master's Degree in biological or computational discipline
Preferred Experience: Previous experience in applied bioinformatics, computational, and genomics/proteomics areas
Level 2A, Covid Vaccination Not Required