SoftServe is a leading technology solutions company specializing in software product & application development and services.
Our mission is to be a valuable partner for our clients (from start-ups to large enterprises) who represent different domains e.
g. health care, retail, enterprise, automotive, education, etc. We measure our success by our clients’ success.
The team of top-notch experts who drive research in emerging technologies and implement cutting-edge technological solutions for our clients.
Our R&D team applies expertise in machine learning, engineering, and classical science to cross-disciplinary research spanning from human-computer interaction and bioinformatics to computational finance and computer vision.
We run multiple technology and academic partnerships and expose our research at global events and conferences.
A holder ofPh.D. in Bioinformatics, Cheminformatics, Biostatistics, Computer Science, Mathematics, Data Science, or a Physical science or equivalent experience, with a solid background in applied data analysis
Showing a proven research track (research papers, case studies, open-source, research internships, etc.)
Having software development hands-on experience (Python is required, other languages are advantageous)
Skilled inMachine Learning and Data Science
Familiar with at least one Deep Learning library (e.g., Tensorflow, PyTorch), wrote at least one custom neural net
Familiar with at least one cloud platform (GCP, AWS, Azure)
Confident working with molecular (SMILES, SMARTS, .pdb, etc), sequence (FASTA, BAM, VCF, etc.) data, and bioinformatics / cheminformatics databases (ChEMBL, PubChem, Protein Data Bank, GenBank, dbVar, etc.)
Holding expert working knowledge of bioinformatics / cheminformatics tools (e.g., GATK, CDK, RDKit, OEChem, etc.), concepts, and approaches
Experienced in the analysis of microarray and sequence data
Showing demonstrated experience of having contributed to target and biomarker discovery projects
Revealing strong initiative and demonstrated ability to take ownership of challenging problems
Really passionate for innovation, creativity, and an openness to new ideas as well as having the experience and knowledge necessary to deliver strong scientific results
Owning commercial experience in a drug discovery startup or big pharma company (e.g., Novartis, Pfizer, Bayer, etc.)
Demonstrating Upper-Intermediate or higher English level
YOU WANT TO work with
Participating in cross-disciplinary research and development at the intersection of Chemistry, Biology, and Software Engineering
Solving complex problems in domains of drug discovery, personalized medicine, biotechnology manufacturing, and genetic engineering
Promoting machine learning and data science best practices, such as scalable training and deployment, model introspection and evaluation, new state-of-the-art implementations, etc.
Defining the analytical and technical problems in applying artificial intelligence and machine learning to develop new solutions and deliver applied research within the team
Creating prototypes and demos
Publishing research papers
Presenting results of the research and technology demos at top-tier research and business events all over the world
Supporting business development efforts : marketing, presentations, presales, etc.
TOGETHER WE WILL
Work on the intersection of software engineering and natural sciences
Drive innovation and excellence in bioinformatics / cheminformatics, advocating novel approaches and methods to accelerate the drug discovery process
Collaborate with world-leading R&D customers on bringing to life challenging ideas
Support your technical and personal growth we have a dedicated career plan for all roles in our company.
Enjoy flexible working hours whether you are a morning bird or a sleepy-head, it is ok with us
Take part in internal and external events where you can build and promote your personal brand