Uniquely positioned to enhance quality of life in aging, at Alkahest, we are pioneering science that is rapidly being translated to the clinic.
Our approaches utilizein vivo, in vitro, proteomic, and molecular techniques to identify new therapeutics and apply them to patients.
We are seeking a highly motivated Computational Genomics / Proteomics Bilogist. The role will be to lead, advise and assist in the data analysis, interpretation and integration of large scale transcriptomic and proteomic data.
These studies will involve cutting edge science and the efforts of this role will be pivotal in advancing our therapeutic capabilities.
The role requires dedication, flexibility, excellent communication and organization to successfully drive the science and achieve Alkahest’s corporate mission.
This position reports to the Senior Director Informatics.
Alkahest offers a competitive compensation and benefits package, annual bonus potential, stock options, opportunities for career growth and development, and a work environment that is collaborative, collegial and lots of fun.
Serve as one of the primary contact points between preclinical research biology and informatics at Alkahest
Work closely with transcriptomics and proteomics biologists and provide advice and mentorship as needed
Identify and develop optimal algorithms and workflows to analyze large scale transcriptomic and other omics datasets
Define and perform integrative analysis of Alkahest data sets including large biomarker experiments as well as in vivo or in vitro experiments
Identify and integrate relevant external datasets to aid in the analysis and interpretation of internal data
Ensure completeness, correctness and integrity of analyses and datasets
Engage external resources to apply cutting edge methodologies and ensure recognition in the scientific community including publications
Other responsibilities as assigned.
PhD. in Bioinformatics, Biostatistics, or related field
Significant experience (4+ years) analyzing and modeling high dimensional biological data
Experience in the analysis and interpretation of RNA seq or proteomics data. Experience with single cell RNA-seq or mass spectrometry data is a plus
Solid statistical background and programming skills in R. Demonstrated experience with ggplot and bioconductor packages
Programming / scripting experience in languages such as C++, Scala, Python. Experience with visualization tools such as matplotlib, seaborn, D3 or bokeh is a plus
Experience with toolkits such as scikit-learn, TensorFlow, e1071 or CARET
Demonstrated, deep knowledge of bioinformatics principles, tools, and databases
Highest team spirit and at the same time ability to self-motivate and work independently
Excellent interpersonal, verbal and written communication skills
Attention to detail and strong organizational skills
Creative problem solving with the ability to think outside-of-the-box. Willing to take on exploratory novel methods
Research experience in neuroscience or aging is a plus
Comfortable working in a multi-tasked, fast-paced startup environment
Apply Today. We'd love to hear from you.