Associate - Equity Research, SMid/ Large Cap Biotech

Reposted 25 Days Ago
New York, NY, USA
In-Office
110K-175K Annually
Junior
Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
The Role
The candidate will support the equity research team by writing reports, developing surveys, building financial models, and analyzing market dynamics in the biotech sector.
Summary Generated by Built In

Job Description:

The SMid/ Large Cap Biotechnology Equity Research team covers companies spanning three main disease areas of oncology, central nervous system disorders, and rare diseases. The lead analyst is top three ranked in the Institutional Investor vote for the smid biotech category. In 2021 the team worked on several priced IPOs and add ons and is currently vetting several additional transactions. The candidate for this position should be intellectually curious and have a deep desire to learn.

Open to recent PhD graduates.

The ideal candidate possesses a life science background and experience with financial modeling in either sell-side research or healthcare investment banking.

He or she will work alongside the Senior Analyst and Associates in all aspects of the research process, from idea generation to modeling, including but not limited to the following:

  • Write industry and company reports and company launch initiations
  • Develop doctor/patient surveys and conduct doctor interviews to understand market dynamics, demand and future projection
  • Build financial models to quantitatively analyze company valuations
  • Demonstrate industry knowledge (such as regulatory, pricing) from early-stage study to market approval
  • Build relationships and facilitate information flow with contacts at covered companies
  • Seek out new, value-added and/or unusual sources of information
  • Have ability to monitor news flow and highlight stock-impacting updates when the Senior Analyst is traveling
  • Interact regularly with sales, trading and external clients and if performance on team is strong enough, take on coverage of individual names over time 

This position has a requirement of being in the office 4 days per week.

Qualifications:

  • Bachelor’s Degree or equivalent years of experience (Advanced degree in life science discipline is a plus)
  • Ideal candidate would have 1-4 years of experience in biotech equity research, buy side experience or investment banking experience
  • Strong writing and financial modeling skills is a must
  • Must enjoy following the stock market and doing desktop and field research
  • Academic background in a life science field and should understand economics, macroeconomic factors and policy
  • Must have excellent communications skills, written and verbal
  • Must have strong attention to detail, ability to multi-task
  • Must work well in a collaborative team environment
  • Must have strong desire to be a team player and view team’s success as a reflection of individual success

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)

Pay and benefits information

Pay range$110,000.00 - $175,000.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Skills Required

  • Bachelor's Degree or equivalent years of experience
  • 1-4 years of experience in biotech equity research, buy side experience or investment banking experience
  • Strong writing and financial modeling skills
  • Academic background in a life science field
  • Excellent communication skills, written and verbal
  • Strong attention to detail, ability to multi-task
  • Must work well in a collaborative team environment
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