Bioinformatics Scientist I Jobs
By Foundation Medicine At Cambridge, MA, United States
Excellent teamwork, time management and organizational skills
Enhance existing methods, improving their assay capabilities as well as their technical robustness.
1+ years of industry or academic medical center professional experience or post-doctorate work
3+ years of industry experience
Experience contributing to a complex production analytical system
Experience developing algorithms for analysis of biological data
Bioinformatics Scientist Jobs
By Boston Children's Hospital At Boston, MA, United States
Training staff and researchers; effectively tailoring presentations; developing, implementing and maintaining knowledge management systems.
The Bioinformatics Scientist shall be responsible for:
To qualify you must have:
Senior Scientist, Disease Strategy Team, Translational Bioinformatics
By Bristol Myers Squibb At Cambridge, MA, United States
Bachelor's Degree and 7+ years of experience in computational biology, bioinformatics, statistics or related fields
Or Master's Degree and 5+ years of experience in computational biology, bioinformatics, statistics or related fields
Or PhD and 2+ years of experience in computational biology, bioinformatics, statistics or related fields.
Ph.D. with 2+ years or M.S. with 5+ years of experience in computational biology, bioinformatics, statistics or related fields.
Experience in biotech or pharmaceutical industries.
Strong experience in the use of a high-level programming language such as R and Python.

Are you looking for an exciting opportunity to use your bioinformatics skills to make a real impact? We are seeking a Bioinformatics Scientist to join our team and help us develop innovative solutions to complex biological problems. You will have the chance to work with cutting-edge technologies and collaborate with a diverse team of scientists and engineers. If you are passionate about bioinformatics and have a drive to make a difference, this could be the perfect job for you!

Overview:

A Bioinformatics Scientist is a professional who uses computer science, mathematics, and statistics to analyze biological data. They are responsible for developing and applying computational methods to analyze and interpret large datasets generated from biological experiments.

Detailed Job Description:

Bioinformatics Scientists are responsible for developing and applying computational methods to analyze and interpret large datasets generated from biological experiments. They must be able to identify patterns and trends in the data, and use this information to develop new insights into biological processes. They must also be able to communicate their findings to other scientists and the public.

What is Bioinformatics Scientist Job Skills Required?

• Strong knowledge of computer science, mathematics, and statistics
• Ability to analyze and interpret large datasets
• Ability to identify patterns and trends in data
• Ability to develop new insights into biological processes
• Excellent communication and presentation skills
• Ability to work independently and as part of a team

What is Bioinformatics Scientist Job Qualifications?

• Bachelor’s degree in computer science, mathematics, or a related field
• Master’s degree in bioinformatics or a related field
• Experience with programming languages such as Python, R, or Java
• Experience with bioinformatics software and databases
• Knowledge of molecular biology and genetics

What is Bioinformatics Scientist Job Knowledge?

• Knowledge of computer science, mathematics, and statistics
• Knowledge of bioinformatics software and databases
• Knowledge of molecular biology and genetics
• Knowledge of programming languages such as Python, R, or Java

What is Bioinformatics Scientist Job Experience?

• Experience with analyzing and interpreting large datasets
• Experience with developing new insights into biological processes
• Experience with communicating findings to other scientists and the public

What is Bioinformatics Scientist Job Responsibilities?

• Develop and apply computational methods to analyze and interpret large datasets
• Identify patterns and trends in data
• Develop new insights into biological processes
• Communicate findings to other scientists and the public
• Work independently and as part of a team