Data Science Jobs in Hyderabad - Aganitha Cognitive Solutions
Job Description
About the internship
Given Aganitha's focus in application of AI and data technologies for R&D in Biopharma, all candidates must possess basic understanding and passion for computing in scientific domains. Specifically, college level understanding and interest in Biology and/or Chemistry are mandatory requirements.
Applying candidates must have intermediate to advanced skill in the following areas:
1. Full stack development with Python, React, GraphQL on Linux
2. Data modelling, visualisation and analysis using both relational and NoSQL database platforms
3. Big data pipelining with Apache Spark
4. Deep learning, NLP and classical ML methods
5. Basic DevOps (Git, Make, Docker, Shell, Networking) skills
Applying candidates must have intermediate to advanced skill in the following areas:
1. Full stack development with Python, React, GraphQL on Linux
2. Data modelling, visualisation and analysis using both relational and NoSQL database platforms
3. Big data pipelining with Apache Spark
4. Deep learning, NLP and classical ML methods
5. Basic DevOps (Git, Make, Docker, Shell, Networking) skills
Skill(s) required
Who can apply
Only those candidates can apply who:
. are available for full time (in-office) internship
. are from or open to relocate to Hyderabad and neighboring cities
. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Perks
Number of openings
5
Job Particulars
Role it software engineer
Education Diploma, B.Com, M.Com, BCA, BE/B.Tech, BSc, MCA, ME/M.Tech, MSc, PG Diploma, 12th Pass (HSE)
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeInternship / Projects
Job Id1413235
Job Category IT/Software , Diploma
Locality Address
State Telangana
Country India
About Company
Aganitha accelerates drug discovery and development by applying the power of genomics, AI, cloud, and DevOps. The discovery and development of drugs today are dramatically different from even a decade ago. The most important of all has been the emergence of a strong, cross-disciplinary nature of research and development. Chemistry, biology, and most medical applications are being transformed by rapid progress in informatics, data, and AI/machine learning. At Aganitha, we are partnering with global biopharma companies to complement the traditional lab-based approaches with in-silico approaches to research and development.
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