Job ID: 529175535
Job date: 2017-12-23
End Date:
Company : Harvard Medical School Country : Role : Postdoc
Job date: 2017-12-23
End Date:
Company : Harvard Medical School Country : Role : Postdoc
Job Description:
Computational Biology/Bioinformatics Post-doctoral position available immediately We are seeking a talented, highly motivated individual to join the laboratory headed by Professor David Sinclair in the Genetics Department at Harvard Medical School, Boston. The Sinclair lab is known for their work on genes and small molecules that delay aging and treat age-related diseases. The lab has a wide range or expertise and interests, including cancer, neurodegeneration, diabetes, and fertility. The laboratory has a record of innovation with over 40 patents and numerous start-up companies. In 2014, Dr. Sinclair was on the TIME100 list of the “most influential people in the world.” This is also an opportunity to innovate and be involved in the foundation of one or more new companies. We are seeking a talented individual with a background in computational science or bioinformatics. The position offers an opportunity to work with an engaged group of scientists and participate in cutting edge research combining proteomics and genomics. The ideal candidate will have experience working on Linux-type servers and with programming languages (e.g. C/C++, Python, Perl, R, HTML, Java etc.). The position requires expertise in genomics, transcriptomics and/or proteomics data analysis. The candidate will work on integrative and translational analysis of multiple levels of omics data. The focus will be on applying systems-omics methods to biological research questions and to analyze the acquired data. This includes both the use of established methods of data analysis and identification and testing of new strategies and solutions for the analysis of quantitative biological data. The individual will also participate in the development of our proteo-genomics analysis pipeline. Principal Responsibilities:
Additional Info:
At Harvard Medical School, our mission is to create and nurture a diverse community of the best people committed to leadership in alleviating human suffering caused by disease. With our vast reservoir of talent, extensive network of affiliates and commitment to problem solving, Harvard Medical School is uniquely positioned to steer education and research in directions that will benefit local, national, and global communities. — MD Programs: 3 4-year degree programs – HST MD Program, New Pathway, and Combined Degree Programs. — External Education: Non-degree programs for working professionals. — Continuing Education: Over 200 live, online, or regularly scheduled series classes for talented professionals. — Faculty: the faculty of Medicine includes more than 12,000 individuals working to advance the boundaries of knowledge in labs, classrooms, and clinics. — Affiliates: 17 affiliation agreements with the world’s most prestigious hospitals and research institutes that serve as home base for more than 10,000 physicians and scientists with faculty appointments. — Awards: 9 Nobel Prizes (Medicine or Physiology; Peace) by 15 recipients, 37 Howard Hughes Medical Institute investigators, 147 National Academy of Medicine members, and 68 National Academy of Sciences members. Please visit the HMS Company page at https://www.linkedin.com/company/harvard-medical-school for information on open positions.[Click Here to Access the Original Job Post]
Computational Biology/Bioinformatics Post-doctoral position available immediately We are seeking a talented, highly motivated individual to join the laboratory headed by Professor David Sinclair in the Genetics Department at Harvard Medical School, Boston. The Sinclair lab is known for their work on genes and small molecules that delay aging and treat age-related diseases. The lab has a wide range or expertise and interests, including cancer, neurodegeneration, diabetes, and fertility. The laboratory has a record of innovation with over 40 patents and numerous start-up companies. In 2014, Dr. Sinclair was on the TIME100 list of the “most influential people in the world.” This is also an opportunity to innovate and be involved in the foundation of one or more new companies. We are seeking a talented individual with a background in computational science or bioinformatics. The position offers an opportunity to work with an engaged group of scientists and participate in cutting edge research combining proteomics and genomics. The ideal candidate will have experience working on Linux-type servers and with programming languages (e.g. C/C++, Python, Perl, R, HTML, Java etc.). The position requires expertise in genomics, transcriptomics and/or proteomics data analysis. The candidate will work on integrative and translational analysis of multiple levels of omics data. The focus will be on applying systems-omics methods to biological research questions and to analyze the acquired data. This includes both the use of established methods of data analysis and identification and testing of new strategies and solutions for the analysis of quantitative biological data. The individual will also participate in the development of our proteo-genomics analysis pipeline. Principal Responsibilities:
- Lead in the development of new methods and algorithms/pipelines to analyze next-generation sequence of genomes, epigenomes, and transcriptomes derived from experimental specimens.
- Lead in the development of computational tools and resources/databases to integrate genomics and functional genomics datasets.
- Identification of regulatory networks through integration of multiple layers of data, including but not limited to genome sequences, gene and small RNA expression profiles, metabolite profiles, and DNA methylation profile.
- Implement new analytical tools capable of troubleshooting and accelerating the data analysis.
- Work with the molecular biology team to develop protocols that enable parallel interpretation of sequencing and proteomics data.
- Process, analyze and interpret high volumes of data as part of wide range of internal and external scientific studies. Apply automated methods and software to support large-scale bioinformatics analysis.
- Provide bioinformatics resources for day-to-day use by members of the laboratory.
- Monitor and evaluate analytical aspects of new and emerging technologies (sequencing proteomics and others).
- Present scientific and technical data to both internal and external scientific colleagues in a clear and cohesive manner.
- Work independently and prepare timetables, deliverables, and project schedules.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science or related fields.
- Experience with and deep understanding of algorithms, data structures, and scientific programming for analysis of biological data.
- Proven understanding and experience in the fields of genomics, data processing, high-throughput data analysis, and genomic databases
- Must have experience with sequence data formats and processing from Next Generation platforms (Illumina, PacBio, etc.)
- Software engineering skills with proficiency in: Java, C++ Perl, Python and R
- Excellent track record of analyzing next generation sequencing data, particularly WGS, HiC-seq, ChIP-seq, and RNA-seq.
- Experience in a Unix/Linux environment.
- Experience with common tools for:
- NGS (BWA, GATK, STAR, Samtools, Picard, TopHat, Cufflinks, etc.)
- ChiP-seq; HiC-seq (Bowtie, MACS, SICER, HOMER, etc.)
- Proteomics (mzR, mzLD, etc.)
- Metabolomics (metaboAnalyst, etc.)
- De novo assembly (e.g. SOAPdenovo, Velvet, Abyss, and ALLPATHS-LG)
- Genome annotation (e.g. Augustus, MAKER)
- Experience in algorithm development for analysis of massively parallel sequencing data (NGS outputs of ChiP-seq, ATAC-seq, bulk cell and single cell RNA-seq, and whole genome sequencing).
- Experience with statistical analysis is strongly preferred.
- Strong scientific understanding of molecular and cellular biology, genetics and genomics.
- Candidates must demonstrate outstanding personal initiative.
- Excellent teamwork, time management and organizational skills.
- Ability to work independently in a multidisciplinary, fast-paced, dynamic and results-oriented environment.
- Ability to present data to a multidisciplinary audience in a clear and cohesive manner.
- Ability to meet deadlines and multitask efficiently is a must.
- NGS (BWA, GATK, STAR, Samtools, Picard, TopHat, Cufflinks, etc.)
- ChiP-seq; HiC-seq (Bowtie, MACS, SICER, HOMER, etc.)
- Proteomics (mzR, mzLD, etc.)
- Metabolomics (metaboAnalyst, etc.)
- De novo assembly (e.g. SOAPdenovo, Velvet, Abyss, and ALLPATHS-LG)
- Genome annotation (e.g. Augustus, MAKER)
Requeriments :
Skills :
- Cell Biology
- Genetics
- genomic
- HTML
- Lunix/Unix
- molecular biology
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
- Statistics
- Transcriptomics
Areas :
Additional Info:
At Harvard Medical School, our mission is to create and nurture a diverse community of the best people committed to leadership in alleviating human suffering caused by disease. With our vast reservoir of talent, extensive network of affiliates and commitment to problem solving, Harvard Medical School is uniquely positioned to steer education and research in directions that will benefit local, national, and global communities. — MD Programs: 3 4-year degree programs – HST MD Program, New Pathway, and Combined Degree Programs. — External Education: Non-degree programs for working professionals. — Continuing Education: Over 200 live, online, or regularly scheduled series classes for talented professionals. — Faculty: the faculty of Medicine includes more than 12,000 individuals working to advance the boundaries of knowledge in labs, classrooms, and clinics. — Affiliates: 17 affiliation agreements with the world’s most prestigious hospitals and research institutes that serve as home base for more than 10,000 physicians and scientists with faculty appointments. — Awards: 9 Nobel Prizes (Medicine or Physiology; Peace) by 15 recipients, 37 Howard Hughes Medical Institute investigators, 147 National Academy of Medicine members, and 68 National Academy of Sciences members. Please visit the HMS Company page at https://www.linkedin.com/company/harvard-medical-school for information on open positions.[Click Here to Access the Original Job Post]