Computational Biologist- Job description
Role & responsibilities :
● Design, develop, and deploy machine learning models and algorithms to predict drug response and generate novel candidate drug molecules.
● Familiarity with cloud-based data storage and analysis solutions is preferred.
● Develop Deep Learning and Generative AI-based workflows for bioinformatic analyses.
● Collect, clean, and preprocess large datasets (omics) to ensure high data quality and facilitate accurate model training and evaluation.
● Train, validate, and optimize machine learning models using state-of-the-art techniques and algorithms.
● Evaluate and measure the performance of machine learning models using appropriate metrics and techniques.
● Stay up-to-date with the latest advancements in machine learning and contribute to research efforts and innovation within the company.
● To maintain the Git Hub repository, version control, and AWS base database maintenance.
● Experience in applying statistical skills, such as identifying distributions, statistical testing, regression, classification, clustering, etc.
● Proficiency in CADD software packages (e.g., Protein-ligand docking, QM, molecular dynamics). ● Experience with binding free energy estimation methods (e.g., thermodynamic integration).
● Familiarity with medicinal chemistry datasets and concepts related to cheminformatics and small molecule drug discovery.
● Data visualization (Matplotlib/Seaborn)
● Familiarity with cloud platforms (AWS, GCP, Azure), version control systems (Git), High-performance computing, and CI/CD pipelines.
Key Skills and Qualifications
● Bachelor's or Master's degree in Computer Science, Engineering, or data science
● Proven experience as a Machine Learning Engineer or a similar role with expertise in Generative AI, deep learning algorithms
● Strong knowledge of machine learning algorithms, techniques, and frameworks such as Tensorflow, PyTorch, or Scikit-learn.
● Proficiency in programming languages such as Python or R.
● Experience with data preprocessing, feature engineering, and model training.
● Strong problem-solving and troubleshooting skills.
● Excellent communication and collaboration abilities.
Role: Data Science & Machine Learning - Other.
Industry Type: Biotechnology
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: B.Tech/B.E. in Information Technology, Bio-Chemistry/Bio-Technology, Biomedical, Chemical, Computers
PG: MCA in Any Specialization, MS/M.Sc(Science) in Biotechnology, Data Informatics, Organic Chemistry, Bio-Chemistry, Biology, Microbiology, Chemical Engineering & Materials Science, Chemistry, Computers, M.Tech in Bio-Chemistry/Bio-Technology, Biomedical, Chemical, Computers
Doctorate: Ph.D/Doctorate in Chemical, Pharmacy, Chemistry, Bio-Chemistry/Bio-Technology, Genetics, Biomedical, Biophysics, Biotechnology
Key Skills
Skills highlighted with ‘ are preferred keyskills
"Github, Artificial Intelligence, Machine Learning, Drug Discovery, Cloud Computing"
Tensorflow, Generative Ai, Drug Designing, Database Handling, Jupyter Notebook, Deep Learning, Scikit-Learn, Numpy, R Program, drug, Pytorch, Pandas, Statistical Modeling, precision medicine, Python.
If you are interested in this position, please send your resume to info@katamaranindustries.com