Summary

Deerhold’s Genomics Team is working with a technology-driven precision medicine company providing state- of-the-art diagnostic solutions for the rare genetic disorders and reproductive genetics markets, and treatment optimization in oncology. The proprietary whole genome analysis platform helps better understand a person’s genetic makeup, leading to unmatched diagnostic capabilities and improved personalized treatment recommendations. We are looking for a motivated Senior and Mid-Level Genetic Data Analyst to join our dynamic team.

Job Description

• Interpretation & Classification of Genetic variants based on in-house or client-specific standard operating procedures, and/or the procedures outlined by the American College of Medical Genetics and Genomics (ACMG)
• Software-based quality analysis of DNA sequencing results
• Documentation of sequencing results of patients/subjects in Quality Analysis Reports and generation of genetic testing reports
• Identify and annotate the variants and associate them with clinical significance
• Identify and calculate insertion/deletion variants in the sequenced genes
• Enter genetic variants with relevant information into the client database where it can be referred for genetic changes interpretation
• Read biomedical papers pertaining to the variant of concern and extract relevant information such as frequency of variants in diseased and healthy individuals, genotype and phenotype information, functional/biochemical tests of the variant
• Perform predictions of variants using computational tools
• Feed all information through valid/standard algorithms to yield a range of scores that represents genotype-phenotype associate of genetic variants
• Summarize complex genetics and genomics literature with clarity and insight.
• Think independently to analyze and interpret data effectively.
• Proficiently curate genetic variants, demonstrating a deep understanding of genetics and genomics.
• Curate genetic content from databases and scientific literature, ensuring accuracy and relevance.
• Remain customer- and data-driven in all aspects of work.
• Demonstrate adaptability by quickly grasping new tasks and technologies.

Qualification

• Degree in Molecular Biology, Genetics, Microbiology, Biotechnology or other relevant subjects. (Master's or PhD preferred).

Requirements

• Sound knowledge of bioinformatics
• Strong proficiency in genetics and genomics.
• Two years of experience or more preferred.
• Proficiency in scientific software and genetic databases.
• Excellent written and verbal communication skills.
• Proficiency in Word, Excel, and PowerPoint.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Prior experience in a similar or equivalent role is advantageous.