Sling Health

Positions Available on Executive Board

Managing Directors (3 available positions)

Description:

1. Interact closely with teams and set goals and deadlines for the teams to reach

2. Organize design reviews with mentors with relevant skill sets (1-2 per semester)

3. Ensure that teams are prepared for Demo Day ( final presentations of projects in April)

Directors of Education (1 available positions)

Description:

1. Connect with local faculty, physicians, and business to create a network of mentors for teams to reach out to.

2. Work with Design Review Chairs to connect teams with appropriate mentors from network.

3. Organize chapter-wide informational seminars with representatives from local companies and labs.

Directors of Business Development (1 available positions)

Description:

1. Look into possible funding opportunities for Sling Health Boston and individual teams

2. Determine budget for overall chapter events and each team.

Legal Chair (1 available position)

Description:

1. Assist with any legal matters that teams or Sling Health Boston may come across including patents, insurance, and intellectual property.

Program Description

Sling Health brings together students, faculty, staff, and local entrepreneurs to tackle unmet needs in healthcare delivery and clinical medicine. The incubator is seeking applications from individual students and teams of students to participate in this year’s competition, as well as helping start-up teams recruit talented students who want to experience start-up culture.

Last year, we have three successful start-up teams coming out from our program, who were connected to a network of like-minded entrepreneurs for support and mentorship.

This year, Sling Health Boston chapter keeps looking for talented students and professionals who are passionate about biomedical technology and entrepreneurship to be on the executive board. Description of executive board positions is included in the email attachment (the number of opening for each position may change).

Please fill out the application by the deadline of September 27, 2018. The application link:

https://goo.gl/forms/PgfqsSuPqpkI4waB3

For more information, please check our website: www.slinghealth.org. If you have any questions, please email Ziwen Jiang at ziwenj@mit.edu.

MilliporeSigma

MilliporeSigma’s Start-Up Program at LabCentral

JUMPSTART YOUR MOLECULE'S SUCCESS

Win a year of dedicated lab space at LabCentral!

Apply to our Start-Up Program and you could win a 1 year residency at LabCentral, a state-of-the-art shared facility for new biotech companies in Cambridge-MA!

How to enter? Describe what sets your molecule apart and how it can impact human health.

Submit your application at: EMDMillipore.com/start-up-program

Applications will be accepted between September 4th and October 21st, 2018

Semi-finalists will be announced the week of October 22nd, 2018 and invited to present at our M Lab™ facility in Burlington, MA on November 8th, 2018.

The grand prize will be announced in November, 2018.

Online application and program rules: EMDMillipore.com/start-up-program

5AM Ventures

Position Title: Fellow

Location: Boston, MA

5AM Ventures is an early-stage venture capital firm focused on building and investing in next-generation life science companies. Founded in 2002, the 5AM team takes a focused, hands-on approach to company building. In addition to leading investments and contributing as board members of its portfolio companies, 5AM is directly involved in company strategy, management recruiting, business development and fundraising and often takes short-term operating roles. 5AM has started ‘4:59’, an internal initiative focused on canvassing areas for science that may be ripe for building new companies. 5AM Ventures has offices in San Francisco, CA and Boston, MA, and approximately $1B under management.

 

We are seeking a Fellow who can assist the 4:59 and 5AM teams with

1) reviewing new insights in prioritized areas of science to craft an investment thesis,

2) supporting scientific detailed diligence (e.g. research and talking to academics, KOLs), and

3) supporting new company formation activities with a focus on the scientific strategy.

 

Time commitment will be 20+ hours/ week, for 6 months. The firm is looking for an individual with strong scientific or medical background (MD and/or PhD) e.g. Post-docs, medical residents, or fellows.

 

To apply, please send an email with subject line “Boston Fellowship Application”, including your C.V., to Applications@5amVentures.com,  by October 15th.

Petrie-Flom Center, Harvard Law School

Petrie-Flom Center Student Internship Program
Call for Applications

General information

The Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School is seeking student interns for the Fall 2018 semester. Availability to start immediately is preferred; please indicate your availability in your application materials. We may consider extension into Spring 2019 if there is mutual interest.

Who is eligible? 

Harvard undergraduate and graduate students with an interest in the Center’s work are eligible to apply. More information about the Center is available at our website. The internship is open to students in all disciplines, but we particularly welcome applications from students studying health policy, bioethics, law, medicine, and the sciences. We are especially interested in receiving applications from students who have experience with social media and/or digital communications.

What will the internship entail?

The Petrie-Flom Center is a busy research center that hosts a variety of events and supports the research work of several senior fellows, research fellows, and visiting scholars. Occasionally, work will need to be assigned and completed on a short turn-around time. Interns must be able to work to deadline with minimal supervision in a fast-paced office environment.

PFC Student Interns will support the Center primarily through communications and office work. Under the supervision of the senior staff, interns will assist with various projects, including:

  • Assistance with event coordination, marketing, and preparation;

  • Drafting of bi-weekly email newsletter using Constant Contact;

  • Website maintenance and content development, including identification of key topical resources for those interested in the field, career-related resources, and relevant programs, centers, courses, etc. around Harvard and beyond;

  • Blog maintenance at Bill of Health, and possibly drafting substantive posts;

  • Support of social media accounts on Facebook, Twitter, and other platforms using Hootsuite.

Interns are encouraged but not required to attend Center events, which are listed on the website. (Note that events will be added throughout the year.) Unless agreed upon in advance as a work assignment, students will not be paid for hours spent at Center events.

Interns will be paid commensurate with their experience and assigned duties. 

Hours may vary week to week depending on the Center’s needs, but applicants for Fall 2018 should expect to work 5–10 hours per week.

Please note that the student internship is distinct from the Petrie-Flom Center Student Fellowship Program, which entails enrollment in the Health Law, Policy, Bioethics, and Biotechnology Workshop, participation in Center events, and the completion of a piece of independent scholarship. The Student Fellowship, in contrast to the internship, is open only to Harvard graduate students.

How to Apply

To apply to the Petrie-Flom Center Student Internship Program, please submit the following materials:

  1. Resume or curriculum vitae;

  2. Academic transcript (unofficial is fine);

  3. Statement of interest and relevant background (two or three paragraphs; please indicate if you have particular expertise or experience related to the tasks described above, as well as if you are available for the full year or only one semester);

  4. Optional: Links to published blog posts, or a short writing sample (5 pages or less).

  5. Optional: Links to social media accounts you have previously managed and any digital projects.

Materials should be submitted to petrie-flom@law.harvard.edu.

Please contact Cristine Hutchison-Jones, Administrative Director, chutchisonjones@law.harvard.edu, with any questions.

Sanofi

Position Title: Postdoctoral Fellowship: Lipidomics

Location: Waltham, MA

A Post Doctoral Scientist is needed to participate in development and application of a cutting edge lipidomics platform for biochemical fingerprinting of biological samples and identification of the disease biomarkers. It will support implementation of a novel approach to drug discovery and development based on translational biomarkers by identification of lipids associated with progression of disease. The work will include testing of innovative approaches for designing longitudinal studies, selection of appropriate controls and normalization approaches for identification of disease progression lipid biomarkers.

Qualifications:

  • PhD from an accredited university in Analytical Chemistry or related field

  • Experience with LC-MS, High resolution mass spectrometry and analysis of lipids

  • Must have US work authorization



Please click here for more information.

Sanofi

Position Title: Postdoctoral Fellowship: Bioprocess Analytics

Location: Framingham, MA

We are looking for candidates for an exciting post doc position to join our Bioprocess analytics team. The ideal candidate will join a dynamic and PAT motivated team and will serve as a key subject matter expert supporting bioprocess process development, data analytics and statistics process control

We are looking for candidates for an exciting post doc position to join our Bioprocess analytics team. The ideal candidate will join a dynamic and PAT motivated team and will serve as a key subject matter expert supporting bioprocess process development, data analytics and statistics process control activities using vibrational spectroscopic technologies.  

Major Job responsibilities:

  • Invisible to visible spectral characterizations of CQAs using pattern recognition, artificial intelligence, machine learning and established pleiotropic network of biomolecules.

  • Analyze large data sets which include real-time bioprocess data and offline analytical data sets.

  • Characterizations and interpretations of cell culture’s critical quality attributes (CQAs) and parameters using UV, Raman, FTIR, Imaging, florescence and FBRM spectroscopy. 

  • Develop Chemometrics data analysis concepts and modeling in support of batch and continuous manufacturing.

  • Develop a Chemometrics predictive modeling platform, exploratory data analysis, Chemometrics model development, validation and model maintenance.

Basic Qualifications:

  • PhD from an accredited university in Process Spectroscopy, Chemometrics, chemical engineering or process engineering

  • Expertise in developing, interpreting, implementing and managing vibrational or other spectroscopic techniques such as FTIR, NIR, Raman, Imaging, florescence and FBRM or related techniques with a strong publication record

  • Strong expertise on Chemometrics data modeling combined with invisible to visible modeling concept using Bioprocess data

  • Expertise on machine learning, neural networks, clustering, pattern recognition, probability, supervised and unsupervised data modeling

  • Outstanding experience on upstream, downstream bioprocess and cell culture data mining

  • Expertise in analyzing mass spectrometric, chromatographic, thermal and genomic data analysis using machine learning and support vector machine

  • Advance skills with R, C++, and MATLAB/Simulink, and Neuron

  • Must have US work authorization

Preferred Qualifications:

  • PAT implementations in continuous manufacturing environment is plus

Please click here for more information.

Novartis

Position Title: Investigator, Oncology Bioinformatics

Location: Cambridge, MA

Job Description 

Novartis Institutes for BioMedical Research, Inc. (NIBR) is seeking a computational biologist / bioinformatics analyst to join the Novartis Oncology Bioinformatics Team. Oncology Bioinformatics provides computational biology expertise to the department, from target ID through clinical development, for both targeted and immune therapies. We work at the cutting edge of science to solve important challenges in biomedical research, making use of both publicly available and internally generated unique and expansive preclinical and clinical datasets. The successful candidate will be highly motivated, creative, and an effective collaborator.
Responsibilities will include:
• Working closely with wet- and dry-lab collaborators to analyze and interpret high-dimensional data such as pooled library NGS screening, single cell RNAseq, and proteomics.
• Supporting translational genomics, model characterization, and data mining efforts to solve unmet medical needs.
• Implementing and developing state-of-the-art computational methods and data mining strategies to address key challenges in oncology drug discovery (e.g. drug resistance, difficult-to-drug targets, harnessing anti-tumor immunity).
• Formulating testable hypotheses, and collaborating in the design of rigorous experiments. 

EEO Statement

The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Minimum requirements

• Ph.D. in computational biology, statistics, computer science, or a related field
• Familiar with fundamental concepts in molecular biology, statistics, and bioinformatics
• Fluency in one or more programming languages with bioinformatics applications (e.g. Python or R)
• Experience with statistical methods for mining ‘omics data (genomics, epigenetics, proteomics) and/or NGS data strongly preferred
• Knowledge of cancer genomics, immunology / immune-oncology, clinical and translational science preferred
• Experience with current analysis methods for single-cell RNAseq, clinical biomarkers, and patient stratification preferred

Please click here for more information.

Novartis

Position Title: Oncology Data Scientist

Location: Cambridge, MA

Job Description 

Novartis Institutes for BioMedical Research, Inc. (NIBR) is seeking a computational biologist / bioinformatics analyst to join the Novartis Oncology Bioinformatics Team. Oncology Bioinformatics provides computational biology expertise to the department, from target ID through clinical development, for both targeted and immune therapies. We work at the cutting edge of science to solve important challenges in biomedical research, making use of both publicly available and internally generated unique and expansive preclinical and clinical datasets. The successful candidate will be highly motivated, creative, and an effective collaborator.
Responsibilities will include:
• Pioneering and implementing artificial intelligence solution to biological problems
• Working closely with wet- and dry-lab collaborators to analyze and interpret biomedical imaging data.
• Supporting translational biology, model characterization, and data mining efforts to solve unmet medical needs.
• Implementing and developing state-of-the-art computational methods and data mining strategies to address key challenges in oncology drug discovery (e.g. drug resistance, difficult-to-drug targets, harnessing anti-tumor immunity).
• Formulating testable hypotheses, and collaborating in the design of rigorous experiments. 

EEO Statement

The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Minimum requirements

• Ph.D. in computational biology, statistics, computer science, biomedical informatics, biological engineering, or a related field
• Experience with current analysis methods for AI, particularly deep learning. Experience with convolutional neural networks and frameworks such as Keras or Tensorflow is a plus.
• Experience with computer vision and image analysis software such as OpenCV
• Experience analyzing medical imaging data. Experience with digital pathology (H&E, IHC) and/or radiology preferred
• Familiar with fundamental concepts in molecular biology, statistics, and bioinformatics
• Fluency in one or more programming languages. Python is a plus.
• Experience with statistical methods for mining ‘omics data (genomics, epigenetics, proteomics) and/or NGS data preferred
• Knowledge of cancer genomics, immunology / immune-oncology, clinical and translational science preferred

Please click here for more information.

Novartis

Position Title: Bioinformatics Investigator

Location: Cambridge, MA

Job Description ‘

Novartis Institutes for BioMedical Research, Inc. (NIBR) is seeking a computational biologist / bioinformatics analyst to join the Novartis Oncology Bioinformatics Team. Oncology Bioinformatics provides computational biology expertise to the department, from target ID through clinical development, for both targeted and immune therapies. We work at the cutting edge of science to solve important challenges in biomedical research, making use of both publicly available and internally generated unique and expansive preclinical and clinical datasets. The successful candidate will be highly motivated, creative, and an effective collaborator.
Responsibilities will include:
• Working closely with wet- and dry-lab collaborators to analyze and interpret high-dimensional data such as pooled library NGS screening, single cell RNAseq, and proteomics.
• Supporting translational genomics, model characterization, and data mining efforts to solve unmet medical needs.
• Implementing and developing state-of-the-art computational methods and data mining strategies to address key challenges in oncology drug discovery (e.g. drug resistance, difficult-to-drug targets, harnessing anti-tumor immunity).
• Formulating testable hypotheses, and collaborating in the design of rigorous experiments. 

EEO Statement

The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Minimum requirements

• M.S. or Ph.D. in computational biology, statistics, computer science, or a related field
• Familiar with fundamental concepts in molecular biology, statistics, and bioinformatics
• Fluency in one or more programming languages with bioinformatics applications (e.g. Python or R)
• Experience with statistical methods for mining ‘omics data (genomics, epigenetics, proteomics) and/or NGS data strongly preferred
• Knowledge of cancer genomics, immunology / immune-oncology, clinical and translational science preferred
• Experience with current analysis methods for processing NGS data, high throughput pooled screening, or other high-dimension data sets preferred

Please click here for more information.