Wyss Institute at Harvard University
Scientist I- Computational Biology
Wyss Institute at Harvard University, Boston, Massachusetts, us, 02298
Overview
Company: Harvard University – Wyss Institute. Join a vibrant community that advances Harvard's mission, inspires innovation and collaboration, and builds skills. We are dedicated to a diverse and welcoming environment where everyone can thrive. About you
You are a collaborative, impact-focused problem solver who wants to be part of a dynamic team dedicated to creating and commercializing novel approaches to global challenges in healthcare and sustainability. You want the opportunity to explore your scientific interests and apply your knowledge to tackle ambitious projects in a fast-paced, entrepreneurial-minded environment with resources and support from top-notch scientific, operations, and administrative professionals. You enjoy working with highly motivated, diverse teams and leveraging your expertise to create innovations that can change the world. About the role
We are looking for a Scientist I to join our Diagnostics Accelerator team with significant expertise in analyzing Next Generation Sequencing (NGS) and other high throughput datasets (mass spectrometry) for biomarker discovery. You will work with a multidisciplinary team on developing multi-omic technologies for investigating pathological states from human biofluids. You will lead development of novel Next Generation Sequencing (NGS) computational methods that will be used across different diseases. Although this role is primarily computational, you will also have an opportunity to participate or be trained in experimental methods and ideally serve as a hybrid computational / experimental scientist. What you'll do
Perform computational analysis of NGS (RNA-Seq, etc), mass spectrometry, and other large-scale datasets to find novel biomarkers for different diseases Help with experiments developing novel platforms for biomarker discovery Provide training and guidance to other lab members on experimental technique Present data at internal Wyss Meetings and prepare presentations for updating program officers from funding agencies Develop pipelines for selecting biomarkers from large multi-omic data sets (NGS, mass spectrometry, etc.) Develop new technologies for profiling of biomarkers from human biofluids Demonstrate a commitment to teamwork, scientific rigor, and collaboration within and across teams Qualifications
What you'll need Bachelor’s degree in biology, computer science, engineering, or a related field and at least 4 years of experience working with NGS data (RNA-Seq, etc) Strong programming skills in Python and/or R, and extensive expertise in writing computational biology workflows Advanced education may count towards years of experience Desirable skills MS or PhD in computational biology preferred but not required Experience with ML/AI workflows Experience with analyzing mass spectrometry data Prior experimental experience (molecular biology, NGS library preparation, programming liquid handlers/automation) Additional Information
Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position Pre-Employment Screening: Identity, and Education Benefits and workplace
Generous paid time off including parental leave Medical, dental, and vision health insurance coverage starting on day one Retirement plans with university contributions Wellbeing and mental health resources Support for families and caregivers Professional development opportunities including tuition assistance Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits & Wellbeing Page. EEO/Non-Discrimination Commitment
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
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Company: Harvard University – Wyss Institute. Join a vibrant community that advances Harvard's mission, inspires innovation and collaboration, and builds skills. We are dedicated to a diverse and welcoming environment where everyone can thrive. About you
You are a collaborative, impact-focused problem solver who wants to be part of a dynamic team dedicated to creating and commercializing novel approaches to global challenges in healthcare and sustainability. You want the opportunity to explore your scientific interests and apply your knowledge to tackle ambitious projects in a fast-paced, entrepreneurial-minded environment with resources and support from top-notch scientific, operations, and administrative professionals. You enjoy working with highly motivated, diverse teams and leveraging your expertise to create innovations that can change the world. About the role
We are looking for a Scientist I to join our Diagnostics Accelerator team with significant expertise in analyzing Next Generation Sequencing (NGS) and other high throughput datasets (mass spectrometry) for biomarker discovery. You will work with a multidisciplinary team on developing multi-omic technologies for investigating pathological states from human biofluids. You will lead development of novel Next Generation Sequencing (NGS) computational methods that will be used across different diseases. Although this role is primarily computational, you will also have an opportunity to participate or be trained in experimental methods and ideally serve as a hybrid computational / experimental scientist. What you'll do
Perform computational analysis of NGS (RNA-Seq, etc), mass spectrometry, and other large-scale datasets to find novel biomarkers for different diseases Help with experiments developing novel platforms for biomarker discovery Provide training and guidance to other lab members on experimental technique Present data at internal Wyss Meetings and prepare presentations for updating program officers from funding agencies Develop pipelines for selecting biomarkers from large multi-omic data sets (NGS, mass spectrometry, etc.) Develop new technologies for profiling of biomarkers from human biofluids Demonstrate a commitment to teamwork, scientific rigor, and collaboration within and across teams Qualifications
What you'll need Bachelor’s degree in biology, computer science, engineering, or a related field and at least 4 years of experience working with NGS data (RNA-Seq, etc) Strong programming skills in Python and/or R, and extensive expertise in writing computational biology workflows Advanced education may count towards years of experience Desirable skills MS or PhD in computational biology preferred but not required Experience with ML/AI workflows Experience with analyzing mass spectrometry data Prior experimental experience (molecular biology, NGS library preparation, programming liquid handlers/automation) Additional Information
Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position Pre-Employment Screening: Identity, and Education Benefits and workplace
Generous paid time off including parental leave Medical, dental, and vision health insurance coverage starting on day one Retirement plans with university contributions Wellbeing and mental health resources Support for families and caregivers Professional development opportunities including tuition assistance Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits & Wellbeing Page. EEO/Non-Discrimination Commitment
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
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