Career Opportunities for Physicists

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 Computational Biologist Broad Institute - Cambridge, MA

Apply your computational skills to solving the hardest problems in big-data genomics and have a wide impact on science and clinical practice, including cancer and other diseases. Join a lively team of data scientists and software engineers dedicated to creating the GATK, a widely used and successful software toolkit for applying next-generation DNA sequencing to medical genetics. The GATK team is an integral part of the Data Science and Data Engineering group at the Broad Institute, a research institution that is transforming medicine and human health by building software to organize, process, and visualize scientific data on an unprecedented scale.

Job Description:
As part of this job, you will conceive and develop algorithms and analysis approaches to solve the key challenges for emerging DNA/RNA sequencing technologies, instantiating these ideas in reliable and scalable software tools that will be applied to scientific projects and used to inform clinical decisions, with revolutionary implications in medical and cancer genetics. You will apply computational techniques to design and implement analysis tools to solve complex computational and mathematical problems in genomics. You will work collaboratively with other data scientists on computational-biology research in a fast-paced environment. Your work will be expected to enable the research of other program scientists through excellent communication, teamwork, and a focus on creating usable and accessible research software tools. You must be capable of working in an interactive team environment while conducting self-directed research within broader goals set by group.

Key Responsibilities:
Devise new algorithms and approaches to genomic data analysis.
Rapidly prototype these ideas and validate their value on novel data sets.
Be involved in the effort to implement and optimize successful algorithms in the pipeline and for use by the broader community.
Gather information from, and present results to a broad range of non-computational staff.
Prepare written reports and presentations for internal use and publication.

PhD in Computer Science, Computational Biology, Bioinformatics, Mathematics, Physics or a related field is required.
Experience in computational biology or genomics is a plus.
Excellent oral and written English communication skills
Ability to solve complex problems individually and as part of a team
Expertise within one of the following fields: Genetics, Genomics, Statistics, or Algorithm Development
Experience developing software in one or more modern programming languages

EOE/Minorities/Females/Protected Veterans/Disabilities


[posted July 26, 2014]

 Quantitative Research Analyst; Quantitative Research Engineer

Stevens Capital Management LP (“SCM”) is a registered investment adviser with approximately 70 employees that manages a multi-billion dollar hedge fund that has been in business for 20+ years.

SCM specializes in the rigorous development and disciplined implementation of empirically based quantitative trading strategies. Our highly productive team works in a fast-paced collegial environment, utilizing extensive data sets, technology and the scientific method to devise and employ trading strategies throughout the world’s most liquid financial markets.

We’re looking for exceptional candidates for the following positions:

  1. Quantitative Research Analyst
  2. Quantitative Research Engineer

1. Quantitative Research Analyst

We're seeking highly driven, production-oriented researchers who possess strong technical skills, along with the necessary combination of creativity, resourcefulness, pragmatism and attention to detail to develop successful automated trading strategies.

Primary Responsibilities

  • Utilize your analytical skills, market knowledge and intuition to develop and implement statistical trading models.
  • Participate in all aspects of research and trading model development, including generating research ideas, building data sets, conducting statistical data analysis and implementing quantitative production trading models.


  • A degree in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines).
  • Programming experience, ideally including R, C++ and/or Python.
  • Strong working knowledge of regression, time series analysis and other statistical techniques.
  • Experience building, organizing and analyzing large data sets is preferred.
  • The ability to comprehend and synthesize academic literature in finance, economics and statistics.
  • Strong financial market interest, knowledge and experience are preferred.
  • The ability to simplify and effectively communicate complex concepts.

2. Quantitative Research Engineer

We're seeking intensely focused, production-oriented research engineers who possess outstanding technical skills, along with the necessary combination of creativity, resourcefulness, pragmatism and attention to detail to develop robust solutions to complex problems.

Primary Responsibilities

  • Utilize your mathematical and programming skills to develop a broad range of research and portfolio management tools.
  • Participate in various aspects of research and production, including model development, risk analysis, portfolio optimization and transaction cost modeling.


  • A preference for a master's or PhD degree in a quantitative discipline (e.g. computer science, statistics, mathematics, engineering or physics).
  • Advanced C++/Unix programming skills.
  • Expertise in areas such as optimization, risk factor modeling, regression, time series analysis, volatility forecasting, option analytics and trading algorithm development.
  • The ability to simplify and effectively communicate complex concepts.

[posted July 12, 2014]

 Faculty in Physics, Bard High School Early College

Bard High School Early College Queens (BHSEC) Queens, a partnership of Bard College and the New York City Department of Education, invites applications for a full-time faculty position in Physics beginning September 2015. BHSECQ, a national model in the field of public school reform, enables talented and highly motivated students to move in four years from the ninth grade through the first two years of college, earning an Associate of Arts (A.A.) degree from Bard College as well as a high school diploma. The academic program emphasizes small class size and a commitment to teaching a diverse student body in a liberal arts environment.

We seek to hire a physicist in any subfield to join our Physics Faculty. The ideal applicant will have a PhD in physics or a related field, college teaching experience, and experience working with a younger audience. We are looking for a skilled educator interested in engaging and challenging our students. We prefer candidates with research experience.

Teaching duties will be divided, between introductory college physics and electives for our college students and classes targeting our high school students. The successful candidate will work collaboratively with colleagues in developing and teaching an innovative science curriculum.

To apply, send a letter of interest (including research interests), curriculum vitae and three letters of reference to In addition, please briefly describe a meaningful classroom or education anecdote drawn from your experience as teacher (c. 250 words). Your references can submit their letters of recommendation by visiting or submitting them directly to

Inquiries may be directed via email to with your name and “Physics Search 2015” in the subject line to the attention of Dr. William Sherman. Please note that we are not processing materials that are sent via postal service. Review of applications begins immediately and will proceed until the position is filled. Women and members of under-represented groups are strongly encouraged to apply. BHSECQ is an equal opportunity employer and we welcome applications from those who contribute to our diversity.

Visit for more information on our schools.

[posted June 12, 2014]