Computational Biologist Intern
# of Openings
Full Time/Part Time
Actuity Spatial Genomics, Inc. (a Bruker subsidiary) is focused on opening a new frontier in spatial 3D genomics and multiomic analyses. We are committed to the development of a novel technology platform allowing progress in genome-wide visualization of spatially resolved 3D chromosome and chromatin architecture in individual cells and cell populations in situ. The Company brings together the premier spatial omics approach (OligoFISSEQTM) with leading-edge imaging, data acquisition and analysis capability. The pioneering in situ technology enables examination of some of the most important questions in genomics and gene expression at the single cell and sub-cellular level. We aim to find the best talent in the field to join and contribute to this extraordinary, exciting endeavor becoming a critical member of this groundbreaking opportunity.
We are looking for an exceptional and highly motivated student or early career scientist to develop bioinformatics approaches creating targeted oligonucleotide panels to map 3D genomic chromosome and chromatin architecture.The candidate will aggregate genomic target information from multiple scientific sources and assemble this information into a database to be used as a basis for panel design.The candidate will also develop pipelines to extract primer designs from an existing database which are complimentary to the assembled target database.The ideal candidate should have experience creating and working with databases and developing workflows in programming languages such as R, python, and MATLAB to extract and parse genomics information.The ideal candidate has shown they can work independently in a biochemistry or molecular biology assay development environment, have exceptional attention to detail, and be able to critically analyze data and communicate results to the team. They must bring a can-do attitude and sense of purpose to the job.Role:
- Become familiar with available scientific literature describing potential targets for spatial genomic analysis and assist in creation of databases and assay design pipelines to convert this information into assay targets.
- Independently create and deploy the genomics target database and a database of panel designs.
- Work within multidisciplinary teams during development.
- Work with assay developers to test and optimize the assay design pipeline.
- Prepare internal technical documentation including summaries of criteria governing choice of targets and panel designs.
Additional desirable skills to have:
- High potential current BS/PhD students or early-career BS level scientists pursuing degrees in chemistry, biochemistry, molecular biology, genetics, bioinformatics, computational/systems, computer science, biology physics or similar.
- Ability to rapidly digest and learn new scientific material. Hungry to learn.
- Experience in handling large genomic data/information sets through use of databases or analysis workflows.
- Experience setting up databases and data workflows to extract and manipulate data from databases.
- Familiarity with genomics data formats (FASTA, FASTQ, etc.) and UCSC genome browser.
- Familiarity with Bowtie2, NUPACK, BLAST and other genome alignment software.
- Ability to quickly analyze and interpret complex datasets and communicate results in a clear and concise manner.
- Thorough understanding of statistical analysis tools.
- Demonstrated attention to detail and collaboration skills.
- Experience with advanced fluorescence techniques such as FISH.
- Experience with NGS analysis.
We are an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics.
Certain positions at the Company require compliance with export control laws and a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions.