Employment Opportunity: Biological Image Analysis Scientist / Software Engineer at Harvard Medical School

Call for Applications
The Image and Data Analysis Core (IDAC) at Harvard Medical School (HMS) is a new core facility that enables basic and biomedical research by providing state-of-the-art image analysis and related data analysis expertise. The IDAC mission is to enable and improve research performed at HMS, while simultaneously advancing the field of biological image analysis. We maintain a collection of existing open source and commercial image analysis software packages and train researchers to use them effectively. More importantly, we continuously develop novel algorithms to allow researchers to extract valuable information from their biological images. When interfaced with the cutting-edge biomedical research and imaging happening at HMS, these state-of-the-art methods make new science possible and push the biological image analysis field forward. We also actively work to disseminate our image analysis expertise to the HMS community through seminars, workshops and courses.

Apply now!
IDAC has an immediate opening for a Biological Image Analysis Scientist / Software Engineer. This position will regularly provide advice and direction on image analysis to graduate students, postdocs and faculty at HMS, train researchers to use existing image analysis solutions, convert existing analysis tools into turnkey software, and develop and publish novel solutions to address unmet needs. This position will also have the opportunity to identify additional responsibilities that match his/her interests, such as organizing and teaching image analysis lectures and workshops; organizing discussion groups/journal clubs; developing protocols for comparing and evaluating algorithm performance; or pursuing independent research in image analysis.

Qualifications / Required Skills:
● PhD in a related field with 2 or more years of research experience in biological image
analysis algorithm development.
● MATLAB image processing, image analysis, GUI development experience.
● Effective communication skills; ability to communicate technical concepts to nontechnical
researchers.
● Strong mathematical and statistical background.
Desired / Preferred Skills:
● Bioimaging optics knowledge – basic principles of modern microscopy.
● Knowledge of basic biology / biological research techniques.
● Experience with modern machine learning methods.

Responsibilities:
● Develop novel biological image processing, image analysis and data analysis algorithms in MA TLAB.
● Consult and effectively communicate with researchers on the effective use of image analysis methods.
● Train researchers to use existing or novel analysis software, effectively communicating analysis principles and practical aspects of operation.
● Modify & customize existing analysis tools, to provide additional functionality.
● Convert existing analysis tools into user-friendly software.
Interested applicants, send the following materials:
● Curriculum Vitae
● 1 page cover letter describing why you’re interested in working at IDAC, how you would contribute, and anything else you want us to know about you. Please do not just summarize your CV, though you may include any pertinent highlights of your image analysis experience.
● Contact information for three references (we will ask you before calling them).
Please send to idac_apply@listserv.med.harvard.edu with “Image Analysis Scientist Position” in the subject line of the application email. Interviews will be arranged as soon as possible and until the position is filled.

Opportunity within the National Cancer Institute’s Center to Reduce Cancer Health Disparities

The position involves professional responsibility for the oversight of a federal grants program focused on enhancing the integration and dissemination of diversity training, women’s health, and sexual and gender minority efforts within the scientific community and underserved communities experiencing disparities, through NCI-supported networks.

Applications will be accepted through the vacancy announcement posted at https://www.usajobs.gov/GetJob/ViewDetails/426367200.

Job Title: Supervisory Health Scientist Administrator (HSA)
Series and Grade: GS-0601-15
Position Information: Full time-permanent
Duty Location: Shady Grove, MD
Open Period:Monday, February 1, 2016 to Wednesday, February 10, 2016

The selectee will play a critical and valuable role in the overall management of designing, implementing and assessing programs that support the training of a diverse cadre of competitive cancer and cancer health disparities researchers, and create state-of-the-art networks dedicated to integrating cancer research, diversity training, and education/outreach efforts in underserved communities.

Ideal candidates will have expertise in basic, clinical, translational, population-based and/or behavioral research related to cancer and cancer health disparities. Also desirable is an educational background or experience in molecular biology, genomics, proteomics, bioinformatics, basic medical science, and/or in applied research, such as community-based education, outreach, and public health.

If you think this position may be of interest to you, we encourage you to apply.

Please also feel free to share this announcement with your colleagues and others who may be interested in joining this exciting and dynamic team of scientists working to promote research and training in cancer and cancer health disparities research, and to identify new and innovative scientific education and outreach opportunities to improve cancer outcomes in communities experiencing an excess burden of cancer.

Sincerely,
The NCI’s Center to Reduce Cancer Health Disparities