04-09-2017, 10:05 AM
There is a Summer Internship Opportunity Available at Tata Memorial Center, ACTREC.
Opportunity is in the Clinician Scientists Laboratory for a student intern under Prof. Sudeep Gupta, Prof. of Medical Oncology, TMH.
Following are the complete details:
A non-paid internship is available for a period of six months - extendable to a year depending on student’s interest and availability, with Prof. Sudeep Gupta (Prof. Medical Oncology, TMH) in the Clinician Scientists Laboratory, ACTREC, Tata Memorial Center, Navi Mumbai.
This is an exciting opportunity for the successful candidate to apply novel informatic algorithms to unravel mutational signatures underlying a rare cancer type. The successful candidate will be trained in integrating multiple analyses of data generated on high throughput OMICS platforms, to interpret the causal role of genetic aberrations that drive this cancer. We are hopefully the outcomes of this project will lead to an increased understanding of genetic aberrations and their biological mechanisms underlying carcinogenesis.
Who should Apply?
Candidates with backgrounds in Mathematics (Statistics), Bioinformatics and Computational Science are encouraged to apply. Students currently in their last year of degree are encouraged to apply. The work done during this period can be submitted as a dissertation thesis at your host institute.
The position is also suitable for students who have recently completed their degree, and wish to make a career in academics. The successful candidate will be able to hone their skills on real world data from Indian patients – a first in India for this cancer type. The candidate will have the opportunity to collaborate with a multidisciplinary team of clinicians, basic scientists and computational biologists. The candidate will contribute to work that may have a direct impact on disease treatment.
Expected Skill-sets:
Candidate with Mathematics degree :
Strong theoretical concepts in statistics, with an emphasis on probability distribution and statistical modelling
Basic understanding of computer programming concepts
Candidate with Bio-informatics/ Computational Science degree :
Intermediate knowledge (Subroutines, Linkage scripts, etc.) of any one: Perl/ Unix Shell/ Python.
Basic knowledge of any programming database (SQL or noSQL)
Experience in writing GUI wrappers/ Executables on Linux will be an added advantage.
Expected Outcomes:
At the end of the internship, the candidate will Integrate multiple analyses from data generated on high-throughput OMICS platforms
Derive a holistic view of disease pathogenesis in this cancer that may inform patient care
Compile an automated analytical pipeline to carry out this analysis
Compile a GUI based framework that allows non-computational researchers to carry out this analysis
Interested applicants are requested to apply online at https://goo.gl/opgEpR
Opportunity is in the Clinician Scientists Laboratory for a student intern under Prof. Sudeep Gupta, Prof. of Medical Oncology, TMH.
Following are the complete details:
A non-paid internship is available for a period of six months - extendable to a year depending on student’s interest and availability, with Prof. Sudeep Gupta (Prof. Medical Oncology, TMH) in the Clinician Scientists Laboratory, ACTREC, Tata Memorial Center, Navi Mumbai.
This is an exciting opportunity for the successful candidate to apply novel informatic algorithms to unravel mutational signatures underlying a rare cancer type. The successful candidate will be trained in integrating multiple analyses of data generated on high throughput OMICS platforms, to interpret the causal role of genetic aberrations that drive this cancer. We are hopefully the outcomes of this project will lead to an increased understanding of genetic aberrations and their biological mechanisms underlying carcinogenesis.
Who should Apply?
Candidates with backgrounds in Mathematics (Statistics), Bioinformatics and Computational Science are encouraged to apply. Students currently in their last year of degree are encouraged to apply. The work done during this period can be submitted as a dissertation thesis at your host institute.
The position is also suitable for students who have recently completed their degree, and wish to make a career in academics. The successful candidate will be able to hone their skills on real world data from Indian patients – a first in India for this cancer type. The candidate will have the opportunity to collaborate with a multidisciplinary team of clinicians, basic scientists and computational biologists. The candidate will contribute to work that may have a direct impact on disease treatment.
Expected Skill-sets:
Candidate with Mathematics degree :
Strong theoretical concepts in statistics, with an emphasis on probability distribution and statistical modelling
Basic understanding of computer programming concepts
Candidate with Bio-informatics/ Computational Science degree :
Intermediate knowledge (Subroutines, Linkage scripts, etc.) of any one: Perl/ Unix Shell/ Python.
Basic knowledge of any programming database (SQL or noSQL)
Experience in writing GUI wrappers/ Executables on Linux will be an added advantage.
Expected Outcomes:
At the end of the internship, the candidate will Integrate multiple analyses from data generated on high-throughput OMICS platforms
Derive a holistic view of disease pathogenesis in this cancer that may inform patient care
Compile an automated analytical pipeline to carry out this analysis
Compile a GUI based framework that allows non-computational researchers to carry out this analysis
Interested applicants are requested to apply online at https://goo.gl/opgEpR