Equity Research Biotech Associate Equity Research Biotech Associate …

Morgan Stanley
in New York, NY
Permanent, Full time
Be the first to apply
Competitive
Morgan Stanley
in New York, NY
Permanent, Full time
Be the first to apply
Competitive
Equity Research Biotech Associate
Research
Morgan Stanley Investment Research is uniquely committed to being an essential part of our clients' investment process. We strive to be the sell-side research provider that best understands the buy side. Through relevant and timely conversations with leading investors, we focus resources on risk-reward essentials: identifying the investor debates, assessing the potential outcomes, and uncovering the evidence our clients need to validate their investment decisions. Our equity analysts cover some 3,000 stocks; our economists, strategists and fixed income analysts cover all major regions and other asset classes around the globe.

Equity Research
The Equity Research department is responsible for researching macroeconomic and microeconomic conditions, along with company fundamentals. It also collects and analyses financial information to make investment recommendations on stocks in specific sectors. Research analysts build financial models to explore alternative scenarios, examine industries and communicate with companies and investors. Equity Research team members discuss their analysis and investment recommendations in research notes. A career in investment research at Morgan Stanley demands a commitment to excellence and a passion for the markets as well as the highest level of integrity.

We are currently seeking a team member to join our Biotech team.

Qualifications:

The candidate should have one of the following backgrounds:

• Masters or PhD (preferred) in immunology, neuroscience, or biomedical engineering
• Computer programming experience in SAS or R, Python is a plus
• Biotech or pharma industry experience
• Financial acumen and an understanding of the financial markets
• Interest in a career in financial and/or equity research
• Someone with a data science/scientist background
• Undergraduate degree in biology
• Experience working for a large biotech or pharma company
• Very strong understanding in programming languages SAS or R, Python is a plus
• Financial acumen and an understanding of the financial markets
• Interest in a career in financial and/or equity research
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