Careers
CD ComputaBio provides computaional solutions to the pharma and biotechnology companies to enable streamlined R&D efforts. Our team of structural biologists, medical chemists, and computational biologists are outstanding. Strong leadership fosters an environment of innovation and encourages a commitment towards integrity and success. We are very proud of the unique culture in our company that gives each employee the exciting opportunity to make a difference.
Opportunities
Currently, CD ComputaBio is enjoying rapid expansion. We offer great opportunities for talented, qualified candidates where your contributions will be recognized. Come join us now!
Position Summary
As a computational chemist, you will be proactively involved in projects by exhibiting excellent communication and problem-solving skills to demonstrate support to the client's projects. In addition, you will interact closely with team members, applying CADD methods to the hit-to-lead and lead optimization projects, presenting the modeling results to the client and communicating with the client on the design idea and strategies. You will also be responsible for the application of computational chemistry methods to identify, optimize and develop drug candidates.
Education & Experience
- PhD/MS in computer-aided drug design (CADD) or computational chemistry or closely related discipline
- Expertise in computational methods: molecular docking, homology modeling, structure- and ligand-based design, conformational analysis, molecular dynamics, QSAR, binding free energy calculations
- Excellent oral communication and written skills
- Proficient with two or more of the modeling and cheminformatics software such as Schrodinger, MOE, Discovery Studio, Pipeline Pilot, Rosetta
- Familiarity with at least one programming language (Python, R, C, C++ …)
- Experience in AI technologies in drug discovery is a plus
- Team oriented with demonstrated collaborative behavior
- Ability to multi-task and project prioritization
If you are interested in this offer, please send us your CV and a cover letter by email (click the button below), or submit them online.
Duties and Responsibilities
- Closely collaborate with researchers and answer biological questions of interest by performing quality control of experimentally generated data, relevant statistical analyses of the processed data, and bioinformatics analyses to refine or interpret the resulting discoveries in the context of third-party knowledge from literature or other public databases.
- Build databases and software infrastructure to load, store, and organize the diverse data sets, associated metadata, and analysis results from the high-throughput assays, to facilitate efficient data retrieval and data mining.
- Collaborate with peer computational biologists in the lab and conduct cutting-edge bioinformatics and systems biology research.
- Develop and work with custom hardware and software solutions to accomplish various goals.
- Research, analyze, and improve software and associated data for health care / life sciences.
Required Qualifications
- Ph.D. in bioinformatics, computational biology/chemistry, or related discipline.
- 3 -5 years of work experience in research institutes or biotech/pharmaceutical industry.
- Solid computer programming skills with proficiency in Matlab/R, SQL, and at least one scripting language (Perl/Python/Ruby). Proficiency in C/C++ and/or Java and experience with multiple operating system platforms (Windows, Mac, Linux). Skilled in using environments such as Unity, graph search algorithms and machine learning.
- Previous experience developing scientific solutions and prototyping ideas with cutting-edge technologies combining computer science, software, data science, machine learning and health care / life sciences innovations.
- Ability to work with and understand the needs of biologists and other software users.
- Publications in computational biology.
* Not accepting calls from applicants.
Duties & Responsibilities
- Perform computational analysis, integration, and modeling of diverse data sets, including DNA and protein/peptide arrays, bulk and single-cell RNAseq, highly multiplexed CITE-seq panel, highly multiplexed serum proteomics, and pathogen discovery by sequencing.
- Perform computational epidemiology incorporating and applying techniques from epidemiology, molecular biology, applied mathematics, theoretical computer science, machine learning, and high-performance computing to develop novel computational methods for understanding and controlling spatio-temporal disease spread.
- Liaison with IT and high-performance computing teams to set up, develop, and maintain necessary computational infrastructure and tools for research.
- Prepare scientific manuscripts and presentations.
Requirements
- Ph.D. in bioinformatics, computational biology/epidemiology or related discipline.
- A minimum of two (2) years of experience analyzing bulk and single-cell RNA-Seq, serum proteome, microbiome profiling or similar datasets.
- Practical knowledge of, and skilled in, computerized data analysis, database management, and computer programming sufficient for the analysis of genomics datasets, including experience with the operation and maintenance of computers with Linux, Mac OS, or Microsoft operating systems.
- Programming experience in environments such as Linux, Bioconductor R, Perl and/or Python.
- Computer programming skills with proficiency in R and at least one scripting language (Perl/Python/Ruby).
- Proficiency in C/C++ and/or Java as well as experience with multiple OS platforms, and experience with database design and construction, and dynamical system theory and modeling are a plus.
* Not accepting calls from applicants.
Online Application
